Abstract | ||
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The handshake gesture is an important part of the social etiquette in many cultures. It lies at the core of many human interactions, either in formal or informal settings: exchanging greetings, offering congratulations, and finalizing a deal are all activities that typically either start or finish with a handshake. The automated detection of a handshake can enable wide range of pervasive computing scanarios; in particular, different types of information can be exchanged and processed among the handshaking persons, depending on the physical/logical contexts where they are located and on their mutual acquaintance. This paper proposes a novel handshake detection system based on body sensor networks consisting of a resource-constrained wrist-wearable sensor node and a more capable base station. The system uses an effective collaboration technique among body sensor networks of the handshaking persons which minimizes errors associated with the application of classification algorithms and improves the overall accuracy in terms of the number of false positives and false negatives. |
Year | DOI | Venue |
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2010 | 10.1109/ICSMC.2010.5641696 | SMC |
Keywords | Field | DocType |
pervasive and ubiquitous computing,human computer interaction,wireless body sensor networks,spine,social interaction,false negatives,body sensor networks,automated detection,ubiquitous computing,behavioural sciences computing,human interactions,handshake gesture,handshake gesture detection,handshaking persons,pervasive computing scanarios,gesture recognition,classification algorithms,collaboration technique,resource-constrained wrist-wearable sensor node,social etiquette,false positives,handshake detection system,pervasive computing,false positive,sensor fusion,human interaction,indexing terms,signal processing,accelerometers,wireless sensor networks,human behaviour,social science,base station,communication channels,wireless sensor network | Sensor node,Handshake,Gesture,Computer science,Gesture recognition,Handshaking,Ubiquitous computing,False positives and false negatives,Wireless sensor network,Distributed computing | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4244-6586-6 | 12 |
PageRank | References | Authors |
0.86 | 11 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Augimeri | 1 | 12 | 1.20 |
Giancarlo Fortino | 2 | 1756 | 155.44 |
Manoj R. Rege | 3 | 17 | 2.15 |
vlado handziski | 4 | 570 | 50.64 |
Adam Wolisz | 5 | 2693 | 407.71 |