The Journal focuses on Recognition Accuracy, Activity Recognition, Light Sensor, Fall Detection, and Defense Advance Research Project Agency. The eWatch is a wearable sensing, notification, and computing platform built into a wrist watch form factor making it highly available, instantly viewable, ideally located for sensors, and unobtrusive to users. Bluetooth communication provides a wireless link to a cellular phone or stationary computer. eWatch senses light, motion, audio, and temperature and provides visual, audio, and tactile notification. The system provides ample processing capabilities with multiple day battery life enabling realistic user studies. This paper provides the motivation for developing a wearable computing platform, a description of the power aware hardware and software architectures, and results showing how online nearest neighbor classification can identify and recognize a set of frequently visited locations. We then design activity recognition and monitoring system that identifies the user’s activity in realtime using multiple sensors. We compare multiple time domain feature sets and sampling rates, and analyze the tradeoff between recognition accuracy and computational complexity. The classification accuracy on different body positions used for wearing electronic devices was evaluated. The eWatch is a wearable sensor and notification platform developed for context aware computing research. It fits into a wrist watch form factor making it highly available, instantly viewable, and socially acceptable. eWatch provides tactile, audio and visual notification while sensing and recording light, motion, sound and temperature. The eWatch power management was designed to operate similar to a cellular phone, requiring the user to recharge overnight. The eWatch needs to be small and energy efficient enough to allow for multiple day user studies by non-technical participants. Given these energy and size constraints, eWatch should provide the most computation and flexibility to allow an assortment of applications. The goal was to move beyond simple sensor logging and allow for online analysis that could query the user for feedback while collecting data or provide services to showcase context aware applications.

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Editorial Manager
Journal of Industrial Electronics and Applications
Email: industrialelect@peerreviewedjournal.org