Gaurav N. Pradhan
ABSTRACT
Recently, Body Sensor Networks (BSNs) are being deployed for monitoring and managing medical conditions as well as human performance in sports. These BSNs include various sensors such as accelerometers, gyroscopes, EMG (Electromyogram), EKG (Electro-cardiograms), and other sensors depending on the needs of the medical conditions. Data from these sensors are typically Time Series data and the data from multiple sensors form multiple, multidimensional time series data. Analyzing data from such multiple medical sensors pose several challenges: different sensors have different characteristics, different people generate different patterns through these sensors, and even for the same person the data can vary widely depending on time and environment.
This tutorial describes the technologies that go behind BSNs - both in terms of the hardware infrastructure as well as the basic software. First, we outline the BSN hardware features and the related requirements. We then discuss the energy and communication choices for BSNs. Next, we discuss approaches for classification, data mining, visualization, and securing these data. We also show several demonstrations of body sensor networks as well as the software that aid in analyzing the data.
- Ramachandran, R., Ramanna, L., Hassan, G., Pradhan, G., Jafari, R., and Prabhakaran, B., "Body Sensor Networks to Evaluate Standing Balance: Interpreting Muscular Activities Based on Inertial Sensors", HealthNet 2008, Boulder, Colarado, June 2008. Google Scholar
Digital Library
- Pradhan, G. N. and Prabhakaran, B., "Quantifying human performance by analyzing multi-dimensional streams", Bodynets 2008, Phoneix, March 2008.Google Scholar
- Li, M., Zhu, H., Xiao, Y., Chlamtac, I., Prabhakaran, B., "Adaptive Frame Concatenation Mechanism for QoS in Multi-rate Wireless Ad Hoc Networks", to appear in Proceedings of IEEE INFOCOM 2008, Phoenix, Arizona, April 2008Google Scholar
- Kotharu, P. S. and Prabhakaran, B., "Partial Fuzzy Query Resolution for Animation Authoring", to appear in the ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol.4, Issue 2, May 2008 Google ScholarDigital Library
- Pradhan, G. N., Engineer, N., Nadin, M., Prabhakaran B., "Integration of Motion Capture and EMG data for Classifying the Human Motions", Proceedings of International Workshop on "Ambient Intelligence, Media, and Sensing (AIMS) 2007, (held along with International Conference on Data Engineering (ICDE), April 20, 2007, Istanbul, Turkey Google ScholarDigital Library
- Li, C., Zheng, S. Q., and Prabhakaran, B., "Segmentation and Recognition of Motion Streams by Similarity Search", ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol. 3(3), August 2007 Google ScholarDigital Library
- Hui Li, Ming Li, B. Prabhakaran, `Middleware for Streaming 3D Progressive Meshes over Lossy Networks', ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol. 2, Issue 4, November 2006 Google ScholarDigital Library
- Li, C., Pradhan, G. N., Zheng, S. Q., and Prabhakaran, B., "Indexing of Variable Length Multi-Attribute Motion Data", Proceedings of the Second ACM International Workshop on Multimedia Databases (ACM - MMDB 2004), Washington D.C., USA, pp. 75--84, November 8-13, 2004. Google ScholarDigital Library
- Li, M., Zhu, H., Chlamtac, I., Prabhakaran, B., "End-to-end QoS Framework for Heterogeneous Wired-cum-Wireless Networks", ACM/Springer Wireless Networks (WINET). Google ScholarDigital Library
Index Terms
- Storage, retrieval, and communication of body sensor network data
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