MIThril 2003: Applications and Architecture
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Sensor Networks for Emergency Response: Challenges and Opportunities
IEEE Pervasive Computing
Anonysense: privacy-aware people-centric sensing
Proceedings of the 6th international conference on Mobile systems, applications, and services
A Smart Indoor Navigation Solution Based on Building Information Model and Google Android
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Ambulation: A Tool for Monitoring Mobility Patterns over Time Using Mobile Phones
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
A 3D pose estimator for the visually impaired
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Distributed recognition of human actions using wearable motion sensor networks
Journal of Ambient Intelligence and Smart Environments
Fast localization in indoor environments
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Research on mobile location service design based on android
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Proceedings of the 14th Communications and Networking Symposium
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We present a mobile platform for body sensor networking based on a smartphone for lightweight signal processing of sensor mote data. The platform allows for local processing of data at both the sensor mote and smartphone levels, reducing the overhead of data transmission to remote services. We discuss how the smartphone platform not only provides the ability for wearable signal processing, but it allows for opportunistic sensing strategies, in which many of the onboard sensors and capabilities of modern smartphones may be collected and fused with body sensor data to provide environmental and social context. We propose that this can help refine data reduction at the local level. We describe three examples related to health and wellness, to which our system has been applied.