O documento aborda o reconhecimento de atividades físicas utilizando smartphones, destacando a crescente adoção de sensores embutidos nos dispositivos. O objetivo principal é desenvolver um modelo que reconheça atividades físicas com alta acurácia utilizando dados coletados de sensores em cenários realistas. A metodologia inclui coleta de dados, análise exploratória e avaliação dos resultados.

1. .
Reconhecendo Atividades Físicas utilizando
um smartphone não rigidamente fixado
Sibelius Seraphini
Orientador: Jó Ueyama
Instituto de Ciências Matemáticas e de Computação (ICMC)
Universidade de São Paulo (USP)
1 de dezembro de 2014
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2. .
Agenda
1. Introdução
2. Trabalhos Relacionados
3. Objetivos
4. Metodologia
5. Conclusão
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3. .
Introdução
Contextualização
• Crescente adoção de Smartphones (Google 2013)
• Crescente número de Sensores Embutidos
◦ Por exemplo: acelerômetro, luminosidade, microfone
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4. .
Introdução
Motivação
• Inferir aspectos do contexto do usuário e de seu ambiente (Lin
et al. 2012; LiKamWa et al. 2011)
◦ Utilizando sensores físicos
◦ Utilizando sensores lógicos (e.g., interação com aplicações,
calendário)
• Reconhecer Atividades Físicas
◦ Detectar quedas
◦ Detectar padrões de sedentarismo
◦ Motivar a realização de atividades físicas
◦ Detectar usos problemáticos do smartphone (e.g., utilizar o
smartphone enquanto caminha)
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5. .
Agenda
1. Introdução
2. Trabalhos Relacionados
3. Objetivos
4. Metodologia
5. Conclusão
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6. .
Trabalhos Relacionados
Trabalho Posição do
Dispositivo Sensores1 Classificador
(Jeannet et al. 2011) Fixado ao Peito acc e gir Classificador fuzzy
(Gyorbıŕó et al. 2009) Fixado ao Pulso acc, gir e mag Rede Neural
(He et al. 2013) Fixado ao Peito acc, gir e mag Classificadores Hierárquicos
Tabela: Comparativo entre trabalhos relacionados
1acc - acelerômetro, gir - giroscópio e mag - magnetômetro
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7. .
Agenda
1. Introdução
2. Trabalhos Relacionados
3. Objetivos
4. Metodologia
5. Conclusão
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8. .
Objetivos
• Formar uma base de dados com dados dos sensores de
movimento do smartphone
◦ Em um cenário realístico ,i.e. , smartphone no bolso ou na mão da
pessoa
• Desenvolver um modelo de Reconhecimento de Atividades
Físicas
◦ Alta Acurácia
◦ Demande pouco processamento
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9. .
Agenda
1. Introdução
2. Trabalhos Relacionados
3. Objetivos
4. Metodologia
5. Conclusão
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10. .
Metodologia
1. Coleta de Dados
2. Analise Exploratória de Dados (AED)
3. Modelo de Reconhecimento de Atividades Físicas
4. Avaliação dos Resultados
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11. .
Coleta de Dados
• Aplicativo para Android
• Google Nexus 4
• Biblioteca EmotionSense (Lathia et al. 2013)
• Atividades Físicas (8 tipos)
◦ caminhando, correndo, sentado, em pé, deitado, subindo e
descendo escadas e andando de bicicleta
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12. .
Coleta de Dados
Tela de Coleta de Dados
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13. .
Coleta de Dados
80
60
40
20
0
Caminh. Ciclismo Correndo Deitado Desc. Esc. Em pé Sentado Sub. Esc.
Atividade Física
Número de Amostras
Posição
bolso
mão
Amostras por Atividade Física e Posição do Smartphone
• 479 amostras
• 4 segundos por amostra
• 3̃2 minutos de dados
válidos
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14. .
AED
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0
20
40
0 500 1000
Timestamp
Acceleração
Eixo
X−axis
Y−axis
Z−axis
Aceleração nos 3 eixos para cada Atividade Física (mão)
Aceleração nos 3 eixos para
cada Atividade Física,
smartphone na mão
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Z−axis
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laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying upstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs 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−5.0
−2.5
0.0
2.5
0 500 1000
Timestamp
Taxa de Rotação
Eixo
X−axis
Y−axis
Z−axis
Taxa de Rotação nos 3 eixos para cada Atividade Física (mão)
Taxa de Rotação nos 3 eixos
para cada Atividade Física,
smartphone na mão
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laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying laying upstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs downstairs 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0
10
0 500 1000 1500
Timestamp
Taxa de Rotação
Eixo
X−axis
Y−axis
Z−axis
Taxa de Rotação nos 3 eixos para cada Atividade Física (bolso)
Taxa de Rotação nos 3 eixos
para cada Atividade Física,
smartphone no bolso
Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades Físicas 15/26 .
15/26

16. .
AED
Extração de Características ou Atributos
• Atributos extraído dos dados brutos:
◦ Média, desvio padrão, taxa de cruzamento da média de cada eixo
e da intensidade, e correlação entre dois eixos
◦ Intensidade =
√
(Xaxis)2 + (Yaxis)2 + (Zaxis)2
◦ 30 atributos extraídos de cada amostra de dados bruto.
16/26
Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 16/26

17. .
AED
Correlação de Atributos
acc_cor_yz
acc_yAxis_mean
gyr_cor_xy
gyr_cor_xz
gyr_yAxis_mean
gyr_zAxis_mean
acc_zAxis_zcr
acc_intensity_zcr
acc_xAxis_zcr
acc_yAxis_zcr
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acc_intensity_mean
acc_intensity_sd
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gyr_xAxis_sd
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gyr_yAxis_sd
gyr_intensity_mean
gyr_intensity_sd
gyr_xAxis_mean
acc_cor_xy
acc_zAxis_mean
gyr_cor_yz
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acc_cor_xz
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acc_intensity_sd
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acc_yAxis_sd
gyr_zAxis_sd
gyr_yAxis_sd
gyr_intensity_mean
gyr_intensity_sd
gyr_xAxis_mean
acc_cor_xy
acc_zAxis_mean
gyr_cor_yz
acc_xAxis_mean
acc_cor_xz
Gráfico de Correlação dos
atributos, antes da remoção
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gyr_cor_yz
acc_xAxis_mean
acc_cor_xz
gyr_yAxis_mean
gyr_zAxis_mean
acc_xAxis_zcr
acc_zAxis_zcr
gyr_intensity_zcr
gyr_zAxis_zcr
gyr_xAxis_zcr
gyr_yAxis_zcr
acc_cor_yz
acc_yAxis_mean
gyr_cor_xy
gyr_cor_xz
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gyr_yAxis_sd
acc_zAxis_mean
gyr_cor_yz
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acc_cor_xz
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Gráfico de Correlação dos
atributos, após a remoção
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Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 17/26

18. .
AED
Atributos Redundantes
acc_intensity_sd, gyr_intensity_mean, acc_xAxis_sd,
gyr_xAxis_sd, gyr_intensity_sd, acc_yAxis_sd,
acc_zAxis_sd, gyr_zAxis_sd, acc_intensity_mean,
acc_intensity_zcr, acc_yAxis_zcr2
Tabela: Atributos considerados redundantes pela analise de correlação
2acc - acelerômetro, intensity - intensidade, mean - média, sd - desvio
padrão, zcr - taxa de cruzamento da média
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Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 18/26

19. .
AED
Projeção dos Dados
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Atividade Físicas
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Analíse Discriminate Linear
Projeção dos dados das atividades físicas utilizando a analise
discriminante linear
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. Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades Físicas 19/26

20. .
Modelo de Reconhecimento de Atividades Físicas
• Classificadores
◦ Support Vector Machine (SVM)
◦ Random Forest
◦ Naive Bayes
◦ Árvores de Decisão
• Atributos
◦ Todos os Atributos
◦ Sem Atributos Redundantes
◦ Seleção de Atributos
20/26
Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 20/26

21. .
Avaliação dos Resultados
Comparativo entre classificadores
Todos os Atributos
Classificador SVM Random Forest Naive Bayes Árvore de Decisão
Acurácia 0.96± 0.02 0.98± 0.01 0.81± 0.05 0.88± 0.05
F-score 0.96± 0.02 0.99± 0.01 0.85± 0.04 0.86± 0.05
Sem Atributos Redundantes
Classificador SVM Random Forest Naive Bayes Árvore de Decisão
Acurácia 0.95± 0.03 0.98± 0.01 0.86± 0.04 0.83± 0.05
F-score 0.96± 0.02 0.98± 0.01 0.87± 0.03 0.81± 0.05
Seleção de Atributos
Classificador SVM Random Forest Naive Bayes Árvore de Decisão
Acurácia 0.97± 0.02 0.99± 0.01 0.88± 0.05 0.92± 0.03
F-score 0.97± 0.03 0.98± 0.01 0.89± 0.04 0.91± 0.05
21/26
Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 21/26

22. .
Avaliação dos Resultados
Atributos Selecionados
Classificador Número de
Atributos
Atributos Selecionados
SVM 7 acc_intensity_sd, acc_intensity_zcr, acc_xAxis_mean,
acc_yAxis_mean, acc_zAxis_mean, gyr_zAxis_mean,
gyr_cor_xz
Random Forest 8 acc_intensity_mean, acc_intensity_zcr, acc_xAxis_mean,
acc_zAxis_mean, gyr_zAxis_mean, gyr_xAxis_sd,
gyr_cor_xy, gyr_cor_xz
Naive Bayes 12 acc_intensity_zcr, acc_xAxis_mean, acc_yAxis_mean,
acc_zAxis_mean, acc_zAxis_sd, gyr_zAxis_sd,
acc_cor_xy, acc_cor_xz, gyr_cor_xz, acc_xAxis_zcr,
gyr_xAxis_zcr, gyr_yAxis_zcr
Árvore de Decisão 6 acc_intensity_mean, acc_yAxis_mean, acc_zAxis_mean,
gyr_yAxis_mean, acc_zAxis_zcr, gyr_zAxis_zcr
22/26
Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades . Físicas 22/26

23. .
Agenda
1. Introdução
2. Trabalhos Relacionados
3. Objetivos
4. Metodologia
5. Conclusão
23/26
. Sibelius Seraphini sibelius@usp.br Reconhecendo Atividades Físicas 23/26

24. .
Conclusão
Contribuições
1. Base de Dados
◦ Cenário realístico, i.e, smartphone no bolso ou na mão da pessoa
◦ Rotuladas com as devidas atividades físicas
2. Analise Exploratória de Dados
◦ Identificar atributos redundantes através da correlação dos
mesmos
◦ Projeção dos Dados para verificar separabilidade entre classes
3. Modelo de Reconhecimento de Atividades Físicas
◦ Alta Acurácia
◦ Demanda pouco processamento ( > 90% com somente 6
atributos)
24/26
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25. .
Conclusão
Limitações e Trabalhos Futuros
• Limitações
◦ O modelo proposto não foi testado no smartphone
◦ O modelo proposto não considera dependências temporais das
series temporais do acelerômetro e do giroscópio
• Trabalhos Futuros
◦ Avaliar o desempenho do modelo proposto em smartphones
◦ Utilizar modelos que consideram dependências temporais
• Hidden Markov Model
• Conditional Random Fields
25/26
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26. .
Referências I
Norbert Gyorbıŕó, Ákos Fábián e Gergely Hományi.
“An activity recognition system for mobile phones”.
Em: Mobile Networks and Applications 14.1 (2009),
pp. 82–91.
Think with Google. Our mobile planet. http:
//think.withgoogle.com/mobileplanet/en/.
Acessed: 2014-09-30. 2013.
Yi He e Ye Li. “Physical Activity Recognition Utilizing
the Built-In Kinematic Sensors of a Smartphone”. Em:
International Journal of Distributed Sensor Networks 2013
(2013).
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27. .
Referências II
Pierre-Yves Jeannet et al. “Continuous monitoring and
quantification of multiple parameters of daily physical
activity in ambulatory Duchenne muscular dystrophy
patients”. Em: European Journal of Paediatric Neurology
15.1 (2011), pp. 40–47.
Neal Lathia et al. “Open source smartphone libraries
for computational social science”. Em: Proc of the
2013 ACM conference on Pervasive and ubiquitous
computing adjunct publication. ACM. 2013, pp. 911–920.
Robert LiKamWa et al. “Can your smartphone infer
your mood?” Em: PhoneSense workshop. 2011.
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28. .
Referências III
Mu Lin et al. “BeWell+: multi-dimensional wellbeing
monitoring with community-guided user feedback and
energy optimization”. Em: Proceedings of the conference
on Wireless Health. ACM. 2012, p. 10.
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