Hand Gesture Recognition with Multiple Wireless Signal Sources
Date Issued
2015
Date
2015
Author(s)
Lee, Chia-Fu
Abstract
This thesis presents a multi-source signal source gesture recognition system. We leverage the characteristics of wireless signal, including traverse through the whole home, and high penetration rate to implement a gesture recognition system which is unlike the line of sight and light condition limitation of vision-based system, non device-free physical sensor system. However, according to our experimental measurement studies, the accuracy of single transmitter system depends on the angle of performing gesture(location). Fortunately, in real world, current environments are full of wireless signals transmitted by different devices coming from various angles. For example, the signals sent by one source is very likely to create a stronger Doppler effect than that sent by another source. In thesis, we presents three approaches exploiting this diversity of multiple signal sources to tackle the above location issues, as a result realizing the whole-home gesture recognition in practice.
Subjects
Multiple WiFi signal sources
Gesture recognition
Type
thesis
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