In industry, Leap Motion is invested in gesture recognition technology where they utilize an array of infrared sensors to map out a three dimensional space in order to render models for gesture recognition. This is similar to how the iPhone X series use facial recognition through depth perception with infrared sensors. This type of gesture recognition requires complex computer vision algorithms and is limited by the infrared ‘viewing’ scope and accuracy.
This project explores the other option of wearables to perform gesture recognition though there are noticeable trade offs when choosing this approach. First, while the user is no longer confined to a particular space, a reliable wireless wearable is needed instead which implies concerns for power and reliability. The issue of training the gesture recognition algorithm depends on the scalability of the application. Due to the nature of the wearable approach, there are less precise readings when compared to the infrared array for a tradeoff in computational simplicity.
This project explores the other option of wearables to perform gesture recognition though there are noticeable trade offs when choosing this approach. First, while the user is no longer confined to a particular space, a reliable wireless wearable is needed instead which implies concerns for power and reliability. The issue of training the gesture recognition algorithm depends on the scalability of the application. Due to the nature of the wearable approach, there are less precise readings when compared to the infrared array for a tradeoff in computational simplicity.