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Title: Low power gesture sensing algorithms
Authors: Tey, Yao Chern
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Abstract: Hand gesture sensing is becoming more popular and important as a method of communicating with computer. With the arise of Internet of Things trend, low power has become a very critical feature in designing circuit. In this project, we develop low power hand gesture sensing algorithm which is suitable for low power circuit.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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