The optimization of gesture recognition techniques for resource-constrained devices

The optimization of gesture recognition techniques for resource-constrained devices

Gesture recognition is becoming increasingly popular as an input mechanism for human-computer interfaces. The availability of MEMS (Micro-Electromechanical System) 3-axis linear accelerometers allows for the design of an inexpensive mobile gesture recognition system. Wearable inertial sensors are a...

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Bibliographic Details
Main Author: Niezen, Gerrit
Other Authors: Prof G P Hancke
Published: 2013
Subjects:
Mobile devices
Dynamic time warping
Linear accelerometer
Neural networks
Hidden markov models
Wearable computing
Human-computer interfaces
Gesture recognition
Optimization
UCTD
Online Access:http://hdl.handle.net/2263/25348
http://upetd.up.ac.za/thesis/available/etd-01262009-125121/

Internet

http://hdl.handle.net/2263/25348
http://upetd.up.ac.za/thesis/available/etd-01262009-125121/

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