A brain-inspired architecture for human gesture recognition

Researchers at Nanyang Technological University and University of Technology Sydney have recently developed a machine learning architecture that can recognize human gestures by analyzing images captured by stretchable strain sensors. The new architecture, presented in a paper published in Nature Electronics, is inspired by the functioning of the human brain. "Our idea originates from how the human brain processes information," Xiaodong Chen, one of the researchers who carried out the study, told TechXplore. "In the human brain, high perceptual activities, such as thinking, planning and inspiration, do not only depend on specific sensory information, but are derived from a comprehensive integration of multi-sensory information from diverse sensors. This inspired us to combine visual information and somatosensory information to implement high-precision gesture recognition."