Addressing Mobile HCI Needs through Agents
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Mobile Networks and Applications
MOPET: A context-aware and user-adaptive wearable system for fitness training
Artificial Intelligence in Medicine
IEEE Transactions on Information Technology in Biomedicine
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Ambient Exercise refers to the implicit exercise that people undertake in the course of their everyday duties - a simple example being climbing stairs. Increasing awareness of the potential health benefits of such activities may well contribute to an increase in a person's well-being. Initially, it is necessary to monitor and quantify such exercise so that personalized fitness plans may be constructed. In this paper, the implicit interaction modality is harnessed to enable the capturing of ambient exercise activity thereby facilitating its subsequent quantification and interpretation. The novelty of the solution proposed lies in its ubiquity and transparency.