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Track-Me-Fit: Inferring User Activity through Mobile Phones’ Data
Fitness activity tracking mobile applications have become increasingly popular over the past decade, offering the end user various insights into their habits, fitness levels and progress towards goals. While many mobile ...
A Generic Framework for Constraint-Driven Data Selection in Mobile Crowd Photographing
(IEEE Internet of Things Journal, 2017-01-05)
Mobile crowd photographing (MCP) is an emerging area of interest for researchers as the built-in cameras of mobile devices are becoming one of the commonly used visual logging approaches in our daily lives. In order to ...
Wearable accelerometer based extended sleep position recognition
Sleep positions have an impact on sleep quality and therefore need to be further analyzed. Current research on position tracking includes only the four basic positions. In the context of wearable devices, energy efficiency ...
Situation, Activity and Goal Awareness in Cyber-physical Human-Machine Systems
this is a special issue of IEEE THMS
Guest Editorial Special Issue on Situation, Activity, and Goal Awareness in Cyber-Physical Human–Machine Systems
The papers in this special section focus on cyber-physical man-machine systems with particular emphasis on situation, activity, and goal awareness deployed in these systems. Recent advances in sensing technologies, the ...