venkatesh-temporaldata-2005.pdf (205.67 kB)
Temporal data fusion in multisensor systems using dynamic time warping
conference contribution
posted on 2005-01-01, 00:00 authored by K Hsiao, G West, Svetha VenkateshSvetha Venkatesh, M KumarData acquired from multiple sensors can be fused at a variety of levels: the raw data level, the feature level, or the decision level. An additional dimension to the fusion process is temporal fusion, which is fusion of data or information acquired from multiple sensors of different types over a period of time. We propose a technique that can perform such temporal fusion. The core of the system is the fusion processor that uses Dynamic Time Warping (DTW) to perform temporal fusion. We evaluate the performance of the fusion system on two real world datasets: 1) accelerometer data acquired from performing two hand gestures and 2) NOKIA’s benchmark dataset for context recognition. The results of the first experiment show that the system can perform temporal fusion on both raw data and features derived from the raw data. The system can also recognize the same class of multisensor temporal sequences even though they have different lengths e.g. the same human gestures can be performed at different speeds. In addition, the fusion processor can infer decisions from the temporal sequences fast and accurately. The results of the second experiment show that the system can perform fusion on temporal sequences that have large dimensions and are a mix of discrete and continuous variables. The proposed fusion system achieved good classification rates efficiently in both experiments
History
Event
Information Fusion and Dissemination in Wireless Sensor Networks. Workshop (2005 : Budapest, Hungary)Pagination
1 - 9Publisher
IEEELocation
Budapest, HungaryPlace of publication
[Budapest, Hungary]Start date
2005-07-14Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2005, IEEETitle of proceedings
SENSORFUSION 2005 : Workshop on Information Fusion and Dissemination in Wireless Sensor NetworksUsage metrics
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