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Found 5 papers, 0 papers with code
Stress Detection using Context-Aware Sensor Fusion from Wearable Devices
SELF-CARE uses a learning-based classifier to process sensor features and model the environmental variations in sensing conditions known as the noise context.
SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection
Detecting human stress levels and emotional states with physiological body-worn sensors is a complex task, but one with many health-related benefits.
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor
The recent advances in wearable devices have allowed the monitoring of several physiological signals related to stress.
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs) endure the dilemma of workload distribution within them.
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
Unlike traditional early exit architecture that makes the exit decision based on classification confidence, AHAR proposes a novel adaptive architecture that uses an output block predictor to select a portion of the baseline architecture to use during the inference phase.
