Six degree-of-freedom haptic rendering using voxel sampling
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Sensor networks for medical care
Proceedings of the 3rd international conference on Embedded networked sensor systems
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Emotion Recognition Based on Physiological Changes in Music Listening
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
IEEE Transactions on Information Technology in Biomedicine
The role of haptics in immersive telecommunication environments
IEEE Transactions on Circuits and Systems for Video Technology
Applications of mobile activity recognition
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Smart wearable systems: Current status and future challenges
Artificial Intelligence in Medicine
Cost-effective activity recognition on mobile devices
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Use of mobile sensor-based platforms for human monitoring is an ever-growing area of research. These system are able to provide objective, quantitative measurements over a time period without being restricted to a clinical settings. However, these platforms also face some challenges in terms of wearability. Wearability concerns force sensor nodes to decrease in size and employ wireless communication. Both of these constraints pose a serious design challenge for realistic applications. In this paper, we present a variety of sensing platforms from inertial tracking with an accelerometer system to emotion recognition with a large set of physiological sensors. We aim to show that body sensor network's properties and design patterns can be useful not only in a traditional accelerometer based system applications, but also in applications that are better suited with other sensor modalities.