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IMU Based Gesture Detection

Year: 2015
Tags: Signal Processing, Machine Learning

 

Gesture detection based on hand motion is challenging due to certain physical factors of sensor resolution, frequency and outlying data. Moreover, complex gestures are hard to identify because of indistinguishable similarity among human gestures. We used a dynamic time warping approach to deal with these challenges. The system was mounted on a hand glove and paired with a smartphone over Bluetooth. The produce aims to relieve the user of physically touching the smartphone for interaction. The product is opensource in nature and available at https://github.com/rizasif/gtlib. The product was featured in DICE Islamabad 2015.
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