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ConvSNN: an energy-efficient hybrid convolutional-spiking neural network for wrist-worn stress and affective state recognition

Abstract Continuous stress monitoring on wrist-worn devices matters for real-time affective computing, digital health, and personalized well-being, yet it remains difficult because a wearable model must operate with few sensors, little compute, and a tight energy budget. Chest-mo...