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A Wireless In-Air Handwriting Recognition System Based on Machine Learning
Thesis

A Wireless In-Air Handwriting Recognition System Based on Machine Learning

Lin, Cho-An.
Masters, 國立清華大學, 資訊工程學系所
2016

Abstract

機器學習 手勢辨識 嵌入式系統 machine learning gesture recognition embedded system
We propose a finger-wearable motion sensing system for handwriting recognition in the air. The hardware consists of a miniature inertial measurement unit (IMU) on a ring with a Bluetooth Low Energy (BLE) transceiver to a computer that then performs feature extractions and classification based on support vector machine (SVM) to recognize the written characters. We tested our system on Graffiti alphabet, and experimental results show a recognition rate of 96% and 91% on user-dependent and user-independent recognition, respectively.

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