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MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue Operations
In this paper, we present a smartwatch-based application, which utilizes a Deep Learning (DL) model, to recognize a set of predefined arm gestures, maps them into Morse code via vibrations enabling remote communication amongst first responders.
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation
Nowadays, Hearth Rate (HR) monitoring is a key feature of almost all wrist-worn devices exploiting photoplethysmography (PPG) sensors.
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion
Human Activity Recognition (HAR) based on motion sensors has drawn a lot of attention over the last few years, since perceiving the human status enables context-aware applications to adapt their services on users' needs.
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