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Research interests |
Keywords |
Labs & Groups |
Projects |
Publications
My research interests are in intelligent sensing for context-aware computing, pattern recognition, and signal processing. Currently I am focusing on research of sensor fusion method using the Dempster-Shafer Theory of Evidence, aiming to provide a generalize-able context-sensing solution for context-aware computing applications.
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artificial intelligence, computational sensors, multi-agent systems, pattern recognition, sensor fusion, and sensors
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Advanced Mechatronics Lab - Research on distributed robotics, distributed informations systems, sensor based robotics, and reconfigurable systems.
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Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- Sensor Fusion for Context-Aware Computing Using Dempster-Shafer Theory
H. Wu
doctoral dissertation, tech. report CMU-RI-TR-03-52, Robotics Institute, Carnegie Mellon University, December, 2003.
[Abstract]
Download: pdf [1607 KB] copyrighted
- Sensor Fusion for Context Understanding
H. Wu, M. Siegel, and S. Ablay(Motorola)
Proceedings of IEEE Instrumentation and Measurement Technology Conference, Anchorage, AK, USA, May 21-23, 2002, May, 2002.
Download: pdf [74 KB] copyrighted
- Sensor Fusion Using Dempster-Shafer Theory
H. Wu, M. Siegel, R. Stiefelhagen, and J. Yang
Proceedings of IEEE Instrumentation and Measurement Technology Conference, Anchorage, AK, USA, May 21-23, 2002, May, 2002.
Download: pdf [154 KB] copyrighted
- Correlation of accelerometer and microphone data in the "coin tap test"
H. Wu and M. Siegel
IEEE Transactions on Instrumentation and Measurement, Vol. 49, No. 3, June, 2000, pp. 493 - 497.
[Abstract]
Download: pdf [107 KB] copyrighted
- Odor-based incontinence sensor
H. Wu and M. Siegel
Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, Vol. 1, May, 2000, pp. 63 - 68.
[Abstract]
Download: pdf [545 KB] copyrighted
- Vehicle sound signature recognition by frequency vector principal component analysis
H. Wu, M. Siegel, and P. Khosla
IEEE Transactions
on Instrumentation and Measurement, Vol. 48, No. 5, October, 1999, pp. 1005 - 1009.
[Abstract]
Download: pdf [103 KB] copyrighted
- Vehicle Sound Signature Recognition by Frequency Vector Principle Component Analysis
H. Wu, M. Siegel, and P. Khosla
Proceedings of the 15th Annual IEEE Instrumentation and Measurement Technology Conference, May, 1998.
Download: pdf [212 KB], ps.gz [109 KB] copyrighted
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