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Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting
Design of a controller for an adjustable frictionless resistance fitness device, with wireless user feedback
Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers
Designing an Innovative Brake Control System
Wireless Indoor Climate Sensor: Implementing the Control Unit at Ultra Low Power
Keeping water under surveillance: Control
Sensor Patch: Subgroup: Microcontroller and Communication
Network-based bootloader for distributed embedded systems applications
Smart Teddy: Elderly monitoring and support system using ambient intelligence: Human Interaction and Integration
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