Power and accuracy trade-offs in sound-based context recognition systems
Pervasive and Mobile Computing
Speaker separation and tracking system
EURASIP Journal on Applied Signal Processing
MEDIC: Medical embedded device for individualized care
Artificial Intelligence in Medicine
Functionality-power-packaging considerations in context aware wearable systems
Personal and Ubiquitous Computing - Special Issue: Selected Papers of the ARCS06 Conference
A Distributed Wearable System Based on Multimodal Fusion
ICESS '07 Proceedings of the 3rd international conference on Embedded Software and Systems
Development of field programmable modular wireless sensor network nodes for ambient systems
Computer Communications
A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
EURASIP Journal on Wireless Communications and Networking - Special issue on towards the connected body: advances in body communications
Distributed modular toolbox for multi-modal context recognition
ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
Architectural tradeoffs in wearable systems
ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
Design methodology for context-aware wearable sensor systems
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Low power high bandwidth power-line communication network for wearable applications
Proceedings of the Fifth International Conference on Body Area Networks
Review: Wireless sensor networks for rehabilitation applications: Challenges and opportunities
Journal of Network and Computer Applications
Hi-index | 14.98 |
Wearable computing has recently gained much popularity as an ambitious vision for future personalized mobile systems. Its aim is intelligent, environment aware systems unobtrusively embedded into the mobile environments of their users. With the combination of complex processing requirements, the necessity of placing sensors and input/output modules at different locations on the user's body, and stringent limits on size, weight, and battery capacity, the design of such systems is an inherently challenging problem. We demonstrate how systematic design and quantitative analysis can be applied to wearable architectures. We first present a model that allows various factors influencing the design of a wearable system to be incorporated into formal cost metrics. In particular, we show how to consistently incorporate specific wearable factors such as device placement requirements, ergonomics, and dynamic workload profiles into the model. We then discuss how efficient estimation algorithms can be extended and applied to the evaluation of different architectures with respect to our cost metrics. Finally, we discuss quantitative results from a proof-of-concept case study showing the trade offs between different architectures for a given wearable scenario. Summarized, we demonstrate how the description and the design of wearable systems can be put on a systematic, formal basis allowing us to treat them similar as conventional embedded systems.