A study on automatic recognition of object use exploiting motion correlation of wireless sensors

Author:

Bosch Stephan,Marin-Perianu Raluca,Havinga Paul,Horst Arie,Marin-Perianu Mihai,Vasilescu Andrei

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Reference31 articles.

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2. Baronti P, Pillai P, Chook VW, Chessa S, Gotta A, Hu YF (2007) Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards. Comput Commun 30(7):1655–1695. doi: 16/j.comcom.2006.12.020 , URL http://www.sciencedirect.com/science/article/pii/S0140366406004749

3. Bauer G, Stockinger K, Lukowicz P (2009) Recognizing the Use-Mode of kitchen appliances from their current consumption. In: Smart sensing and context, pp 163–176. URL http://dx.doi.org/10.1007/978-3-642-04471-7_13

4. Berlin E, Liu J, van Laerhoven K, Schiele B (2010) Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors. In: Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction, TEI ’10. ACM, New York, p 5764. doi: 10.1145/1709886.1709898 . ACM ID: 1709898

5. Bosch S, Marin-Perianu R, Havinga P, Horst A, Marin-Perianu M, Vasilescu A (2010) Automatic recognition of object use based on wireless motion sensors. In: Wearable computers (ISWC), 2010 international symposium, pp 1–8. doi: 10.1109/ISWC.2010.5665858

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