NTU Singapore Scientists Develop AI System for High Precision Recognition of Hand Gestures
Over the years, AI gesture recognition systems have been improved upon by integrating inputs from wearable sensors. However, gesture recognition precision is still hampered by the low quality of data, typically due to the bulkiness and poor contact of the wearables with the user.
To tackle these challenges, a team at Nanyang Technological University, Singapore have created a ‘bio-inspired’ data fusion system that uses skin-like stretchable strain sensors made from single-walled carbon nanotubes, and an AI approach that resembles the way that the skin senses and vision are handled together in the brain.
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Gesture Recognition White Paper