Researchers develop battery-free wearable device powered by
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. Robotics & Automation News: Researchers develop battery-free wearable device powered by human movement. Researchers at Dongguk University in South Korea have developed a flexible, battery-free electronic device that harvests energy from human movement to power neuromorphic sensing and learning functions. The device demonst…
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Reported quantity · Reported accuracy: 88.05 percent · Basis not reported
“ation could also move the system toward a longer-term memory state lasting more than two seconds. The device was additionally tested using an artificial neural network designed to recognize six human activities, including walking, sitting, standing and climbing stairs. Using the experimentally measured behavior of the device, the system achieved 88.05 percent accuracy in classifying the activities while the flexible”
Exact source · revision 2robotics-automation-news
Reported quantity · short-term memory duration: 0.2 other · Basis not reported
“ate this process electronically, we integrated a triboelectric nanogenerator with a g-IGT that converts mechanical stimuli into electrical signals that directly regulate artificial synaptic behavior without requiring external power.” The researchers demonstrated several forms of artificial memory, ranging from sensory memory lasting around 70 milliseconds to short-term memory lasting 0.2-0.45 seconds. Repeated stimul”
Exact source · revision 2robotics-automation-news
Reported quantity · sensory memory duration: 70 other · Basis not reported
“ate this process electronically, we integrated a triboelectric nanogenerator with a g-IGT that converts mechanical stimuli into electrical signals that directly regulate artificial synaptic behavior without requiring external power.” The researchers demonstrated several forms of artificial memory, ranging from sensory memory lasting around 70 milliseconds to short-term memory lasting 0.2-0.45 seconds. Repeated stimul”
Exact source · revision 2robotics-automation-news
Reported quantity · number of human activities recognized: 6 other · Basis not reported
“ation could also move the system toward a longer-term memory state lasting more than two seconds. The device was additionally tested using an artificial neural network designed to recognize six human activities, including walking, sitting, standing and climbing stairs. Using the experimentally measured behavior of the device, the system achieved 88.05 percent accuracy in classifying the activities while the flexible”
Exact source · revision 2robotics-automation-news
Reported quantity · research publication year: 2026 other · Basis not reported
“broadly, our work points toward self-powered neuromorphic electronics with integrated sensing, memory, learning, and information processing in a single flexible platform.” The research was published in Advanced Materials in July 2026.”
Exact source · revision 2robotics-automation-news
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- Robotics & Automation NewsResearchers develop battery-free wearable device powered by human movement
Researchers at Dongguk University in South Korea have developed a flexible, battery-free electronic device that harvests energy from human movement to power neuromorphic sensing and learning functions. The device demonstrates artificial memory capabilities and activity recognition with 88.05% accuracy, potentially enabling self-powered wearable AI systems for health monitoring and human-machine interfaces.
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