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Ongoing research about the
use of commercial-off-the-shelf
wearables in educational
contexts
Authors:
Francisco de Arriba ...
Outline
●Introduction
●COTS wearables
●Objectives
●Sleep Indicators
●Stress indicators
●Proposals for education
●Conclusio...
Introduction
3
Sport
Military
Gaming
Entertaiment
Objectives
●Data collection from different COTS Wearables
o Homogenization
●Propose indicators to feature students
o Estim...
COTS Wearables
5
● Devices tested:
oFitbit Charge, Fitbit Charge 2, Fitbit Surge
oAndroid wear devices
 LG Watch R
 Moto...
Problems
●Data collection
o Different configurations (an intermediate device is needed)
o Authorization to third-parties (...
Data collection configurations
How to collect Data?
● 4 data transfer mode
o Warehouse
vs.
wearable
data source
o Direct
v...
Data collection configurations
How to collect Data?
● 4 data transfer mode
o Warehouse
vs.
wearable
transfer
o Direct
vs.
...
Data collection configurations
How to collect Data?
● 4 data transfer mode
o Warehouse
vs.
wearable
transfer
o Direct
vs.
...
Data collection configurations
How to collect Data?
● 4 data transfer mode
o Warehouse
vs.
wearable
transfer
o Direct
vs.
...
Indicators to feature students
● Sleep indicators
o Sleep quality
o Sleepiness
o Chronotype
o Sleep regularity
● Based on ...
Sleep indicator
●Sleep Quality
12
C4.5
Prediction mean error 14.93%
Vendors mean error 30.55%
SQ
Sleep indicator
●Sleep apps
13
Sleep indicator
●Chronotype
14
Type Start Bed Time Values End Bed Time Values
Extreme
morning -/21:30 2 -/05:00 2
Moderate...
Indicators for Academic
● Stress indicators
o Snapshot stress
o Aggregated stress
o Latent stress
o Stress regularity
● Ba...
Stress indicator
●Snapshot stress
16
Stress indicator
●Latent stress
Similar to
Ebbinghaus
forgetting
curves and
recovey status
curves in
sport
17
18
Proposal for education
●Services for students:
o To enrich the student profile and support student
self-awareness
o Time m...
Proposal for education
20
Proposal for education
21
Proposal for education
●Services for teachers/developers:
o Schedule of activities and timetable management
o Grouping stu...
Proposal for education
23
Proposal for education
●Services for teachers/developers
24
● Moderately morning
● Traditional evaluation
● Most stressful...
Conclusions
●Problems in wearables
oLow battery duration
oInteroperability problems
oSensors accuracy
●Opportunities
oAppl...
LEAP:
Lean and Agile Practices linking
Engineering Higher Education to
Industry
Universidad de Vigo, Instituto Superior de...
Learning Games
27
Thanks for your attention.
28
mcaeiro@gist.uvigo.es
farriba@uvigo.com
The images shown in this presentation have been used...
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VII Jornadas eMadrid "Education in exponential times". "Ongoing research about the use of commercial-off-the-shelf wrist wearables in educational contexts": Manuel Caeiro Rodríguez. 04/07/2017.

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VII Jornadas eMadrid "Education in exponential times". "Ongoing research about the use of commercial-off-the-shelf wrist wearables in educational contexts": Manuel Caeiro Rodríguez. 04/07/2017.

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VII Jornadas eMadrid "Education in exponential times". "Ongoing research about the use of commercial-off-the-shelf wrist wearables in educational contexts": Manuel Caeiro Rodríguez. 04/07/2017.

  1. 1. Ongoing research about the use of commercial-off-the-shelf wearables in educational contexts Authors: Francisco de Arriba Pérez Manuel Caeiro Rodríguez, Juan Manuel Santos Gago UNIVERSITY OF VIGO TELEMATIC ENGINEERING DEPARTMENT This work is being supported by the Spanish State Research Agency, the European Regional Development Fund (ERDF) under the PALLAS (TIN2016-80515-R AEI/EFRD, EU) project and SNOLA (TIN2015-71669-REDT)
  2. 2. Outline ●Introduction ●COTS wearables ●Objectives ●Sleep Indicators ●Stress indicators ●Proposals for education ●Conclusions 2
  3. 3. Introduction 3 Sport Military Gaming Entertaiment
  4. 4. Objectives ●Data collection from different COTS Wearables o Homogenization ●Propose indicators to feature students o Estimation of sleep indicators o Estimation of stress indicators ●Applicability of indicators in educational contexts 4
  5. 5. COTS Wearables 5 ● Devices tested: oFitbit Charge, Fitbit Charge 2, Fitbit Surge oAndroid wear devices  LG Watch R  Moto 360 v1 oMicrosoft Band, Microsoft Band 2 oJawbone UP move
  6. 6. Problems ●Data collection o Different configurations (an intermediate device is needed) o Authorization to third-parties (tokens) ●Data integration o Differences in the names o Difference related to the beginning of measurements o Differences related to the sensors available ●Other issues o Battery duration, memory capacity, etc. 6
  7. 7. Data collection configurations How to collect Data? ● 4 data transfer mode o Warehouse vs. wearable data source o Direct vs. indirect access 7
  8. 8. Data collection configurations How to collect Data? ● 4 data transfer mode o Warehouse vs. wearable transfer o Direct vs. indirect access 8
  9. 9. Data collection configurations How to collect Data? ● 4 data transfer mode o Warehouse vs. wearable transfer o Direct vs. indirect access 9
  10. 10. Data collection configurations How to collect Data? ● 4 data transfer mode o Warehouse vs. wearable transfer o Direct vs. indirect access 10
  11. 11. Indicators to feature students ● Sleep indicators o Sleep quality o Sleepiness o Chronotype o Sleep regularity ● Based on HR, Skin temperature and accelerometer 11
  12. 12. Sleep indicator ●Sleep Quality 12 C4.5 Prediction mean error 14.93% Vendors mean error 30.55% SQ
  13. 13. Sleep indicator ●Sleep apps 13
  14. 14. Sleep indicator ●Chronotype 14 Type Start Bed Time Values End Bed Time Values Extreme morning -/21:30 2 -/05:00 2 Moderately morning 21:30/22:45 1 05:00/06:30 1 Intermediate 22:45/00:45 0 06:30/08:30 0 Moderately evening 00:45/02:00 1 08:30/10:00 −1 Definitely evening 02:00/- 2 10:00/- −2
  15. 15. Indicators for Academic ● Stress indicators o Snapshot stress o Aggregated stress o Latent stress o Stress regularity ● Based on HR, accelerometer, Galvanic Skin Response (GSR) and Skin temperature 15
  16. 16. Stress indicator ●Snapshot stress 16
  17. 17. Stress indicator ●Latent stress Similar to Ebbinghaus forgetting curves and recovey status curves in sport 17
  18. 18. 18
  19. 19. Proposal for education ●Services for students: o To enrich the student profile and support student self-awareness o Time management o Recommendations/Alerts 19
  20. 20. Proposal for education 20
  21. 21. Proposal for education 21
  22. 22. Proposal for education ●Services for teachers/developers: o Schedule of activities and timetable management o Grouping students into working groups o Enhancing learning resources. 22
  23. 23. Proposal for education 23
  24. 24. Proposal for education ●Services for teachers/developers 24 ● Moderately morning ● Traditional evaluation ● Most stressful activities: 3.2, 4.1, 5.2 ● No problems detected ● Moderately evening ● Continuous evaluation ● Most stressful activities: 2.2, 4.1, 5.2 ● Irregular sleep quality warning ● Latent stress high
  25. 25. Conclusions ●Problems in wearables oLow battery duration oInteroperability problems oSensors accuracy ●Opportunities oApplication in sport environments oFast evolution ●Challenges oGeneralize algorithms oCold start the algorithms 25
  26. 26. LEAP: Lean and Agile Practices linking Engineering Higher Education to Industry Universidad de Vigo, Instituto Superior de Engenharia do Porto, University of Central Lancashire, Tallin University, University of Thessaly
  27. 27. Learning Games 27
  28. 28. Thanks for your attention. 28 mcaeiro@gist.uvigo.es farriba@uvigo.com The images shown in this presentation have been used without any commercial purpose

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