N. Aburaed

StressNet: Neuromorphic multimodal stress recognition from wearable physiological signals

Continuous, real-time monitoring of psychological stress is becoming increasingly important in digital health and remote patient-monitoring systems. However, deploying always-on stress-monitoring models on consumer wearable devices remains challenging because of their limited computational resources and microjoule-...

A Semi-Supervised Domain-Adaptive Transformer Framework for Cooperative Spectrum Sensing

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

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-mounted systems can draw on high signal-to-nois...