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Demo Abstract: Cooperative Handshake Detection with Body Sensor Networks ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Augimeri, Antonio Rege, Manoj R. Handziski, Vlado Fortino, Giancarlo Wolisz, Adam |
| Copyright Year | 2010 |
| Abstract | The handshake gesture is an important part of the social eti- quette in many cultures. It lies at the core of many human interactions, both in formal and informal settings: exchanging greetings, oering con- gratulations, closing a deal, are all activities that typically either start or finish with a handshake. This demo presents a research prototype of a system for cooperative detection of the handshaking gesture, using a single wrist-attached body sensor node and a base station per person. 1 Handshake Detection System The importance of the handshaking gesture makes its detection an area of sig- nificant interest in social sciences, disease spread modeling and networking and is driving the research in automatic handshake detection systems. For example, iBand (4) is a wearable bracelet that uses accelerometers and IR transceivers to detect and exchange contact information after a handshake. The Smart-Its Friends (2) also detects common shaking patterns between objects as a way of establishing a shared context. Our work is focused on increasing the eciency of the detection process. We use cooperative techniques that leverage data from both sides involved in the interaction. In addition, we split the detection functionality between a resource- constrained BSN node and a more capable base station. The cooperative ap- proach minimizes errors associated with application of classification algorithms and improves the overall accuracy in terms of the number of false positives and false negatives. When combined with central coordination through the base sta- tions, it gives each user complete control over the detection process. This allevi- ates the implicit privacy concerns and forms the basis for higher-level functions like secure binding and information exchange over secondary communication channels. A handshake detection system using BSNs has to operate under severe con- straints with respect to the available energy and computation resources. In our ? This work has been partially supported by CONET, the Cooperating Objects Net- work of Excellence, funded by the European Commission under FP7 with contract |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.tkn.tu-berlin.de/fileadmin/fg112/Papers/papers_all/Demo_Abstract_-Rege.pdf |
| Alternate Webpage(s) | http://www.tkn.tu-berlin.de/publications/papers/rege_ewsn2010.pdf |
| Alternate Webpage(s) | http://www2.tkn.tu-berlin.de/publications/papers/rege_ewsn2010.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
