Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a sequence of movements (i.e. a diary), synthesize a data stream using real sensor data, visualize, and validate the sequence of movements and data with video and waveforms.

MotionSynthesis Toolset (MoST): A toolset for human motion data synthesis and validation

Savaglio Claudio;
2014

Abstract

Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a sequence of movements (i.e. a diary), synthesize a data stream using real sensor data, visualize, and validate the sequence of movements and data with video and waveforms.
2014
Creole e pidgin, basati sull'inglese (Altre)
International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
2014-August
25
30
http://www.scopus.com/record/display.url?eid=2-s2.0-84938346046&origin=inward
11/08/2014
Body sensor networks
Data synthesis
Databases
Wearable computers
7
none
Bennett Terrell, R; Savaglio, Claudio; Lu, David; Massey, Hunter; Wang, Xianan; Wu, Jian; Jafari, Roozbeh
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/429828
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