Description
Chapter 1. Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data.- Chapter 2. Open-Source Data Collection for Activity Studies at Scale.- Chapter 3. Using LUPI to Improve Complex Activity Recognition.- Chapter 4. Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer.- Chapter 5. Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device.- Chapter 6. BoxerSense: Punch Detection and Classification Using IMUs.- Chapter 7. FootbSense: Soccer Moves Identification Using a Single IMU.- Chapter 8. A data-driven approach for online pre-impact fall detection with wearable devices.- Chapter 9. Modeling Reminder System for Dementia by Reinforcement Learning.- Chapter 10. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?.- Chapter 11. Identification of Food Packaging Activity Using MoCap Sensor Data.- Chapter 12. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features.- Chapter 13. Bento Packaging Activity Recognition Based on Statistical Features.- Chapter 14. Using k-Nearest-Neighbors Feature Selection for Activity Recognition.- Chapter 15. Bento Packaging Activity Recognition from Motion Capture Data.- Chapter 16. Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote.- Chapter 17. Summary of the Bento Packaging Activity Recognition Challenge.
