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Spatio-temporal gesture recognition ...

Mysore, Akshay Raghunandan.

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Spatio-temporal gesture recognition on a distributed sensing system.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatio-temporal gesture recognition on a distributed sensing system./
作者:	Mysore, Akshay Raghunandan.
面頁冊數:	31 p.
附註:	Source: Masters Abstracts International, Volume: 53-02.
Contained By:	Masters Abstracts International53-02(E).
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1558729
ISBN:	9781303989568

Spatio-temporal gesture recognition on a distributed sensing system.
Mysore, Akshay Raghunandan.

Spatio-temporal gesture recognition on a distributed sensing system. - 31 p.

Source: Masters Abstracts International, Volume: 53-02.

Thesis (M.S.)--University of Colorado at Boulder, 2014.

This item must not be sold to any third party vendors.

Distributed Gesture recognition rather than centralized processing is of importance in distributed sensor arrays embedded within networked systems. We have implemented a gesture recognition algorithm on a smart wall system with distributed sensing using capacitive touch sensors. Each node records a sense event and shares it with other nodes in the network. Then each node builds up a chain vector array and compares it with a reference gestures to find out the alphabet drawn on the wall. We studied the effect of gesture speed and number of vectors on gesture recognition and found that as the number of vectors in a gesture increases, the recognition becomes more reliable. A slower gesture speed allows for better sensing of touch and hence also leads to better gesture recognition. We also implemented a Hardware abstraction Architecture based on the TinyOS operating system to achieve the goal of making the program platform independent.

ISBN: 9781303989568Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Spatio-temporal gesture recognition on a distributed sensing system.
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500 $a Source: Masters Abstracts International, Volume: 53-02.
500 $a Adviser: Nikolaus Correll.
502 $a Thesis (M.S.)--University of Colorado at Boulder, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Distributed Gesture recognition rather than centralized processing is of importance in distributed sensor arrays embedded within networked systems. We have implemented a gesture recognition algorithm on a smart wall system with distributed sensing using capacitive touch sensors. Each node records a sense event and shares it with other nodes in the network. Then each node builds up a chain vector array and compares it with a reference gestures to find out the alphabet drawn on the wall. We studied the effect of gesture speed and number of vectors on gesture recognition and found that as the number of vectors in a gesture increases, the recognition becomes more reliable. A slower gesture speed allows for better sensing of touch and hence also leads to better gesture recognition. We also implemented a Hardware abstraction Architecture based on the TinyOS operating system to achieve the goal of making the program platform independent.
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