UC Berkeley researchers have developed a gesture-detecting wearable that they believe could be used to control prosthetics and electronic devices The device uses a combination of biosensors and AI software to identify the hand gestures a person intends to make by analyzing electrical signals from their arm. It’s far from the first gesture recognition system designed for human-computer interaction (HCI), but the new system offers some unique benefits. Most notably, it uses a neuro-inspired hyperdimensional computing algorithm to update itself as it receives new information, such as changes to electrical signals when an arm gets sweaty. “In gesture recognition, your signals are going to change over…
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