Where and How Activity Recognition Works
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Presentation at http://www.meetup.com/Activity-Sensors-and-Personal-Analytics/
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Where and How Activity Recognition Works
- 2. WHERE WE NEED ACTIVITY RECOGNITION? To provide contextually-relevant information Personal security Assisting disabled and physically impaired Lifestyle apps
- 3. WHAT CAN BE RECOGNIZED? Group Activities Ambulation Walking, running, sitting, standing still, lying, climbing stairs, descending stairs, riding escalator, riding elevator. Transportation Riding a bus, cycling, and driving. Phone usage Text messaging, making a call. Daily activities Eating, drinking, working at the PC, watching TV, reading, brushing teeth, stretching, scrubbing, vacuuming Exercise/fitness Rowing, lifting weights, spinning, Nordic walking, doing push ups. Military Crawling, kneeling, situation assessment, and opening a door. Upper body Chewing, speaking, swallowing, sighing, moving the head.
- 4. HOW COMPUTERS CAN RECOGNIZE WHAT HUMANS ARE DOING? Activity Recognition Sensorbased Single-user Multi-user Visionbased Optical Flow WiFi-based Kalman filtering Markov Models
- 5. USING ACCELEROMETER WEARABLE SENSOR Posture and Movement Classifier Learning (supervised and semi-supervised) Hidden-Markov model Neural networks Prediction models
Editor's Notes
- http://groupware.les.inf.puc-rio.br/public/papers/2012.Ugulino.WebScience.HAR.using.on-body.sensing.pdf
- http://eecs.wsu.edu/~cook/pubs/kdd10p3.pdfBayesNetbelongs to the family of probabilistic graphical modelsSequential Minimal Optimization (SMO, solving quadratic programming problem)LogistBost supervised learning algorithm