Battery-Operated Devices and Wearable Devices
Energy-Efficient Embedded system and wireless Sensors design and optimization of Battery-Operated Devices and Wearable devices
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring
Until now, both commercial and reasearch solutions are computationally efficient but not very robust, or strongly dependent on hand-tuned parameters, which leads to poor generalization performance.In this work, we tackle these limitations by proposing a computationally lightweight yet robust deep learning-based approach for PPG-based HR estimation. Specifically, we derive a diverse set of Temporal Convolutional Networks for HR estimation, leveraging Neural Architecture Search.
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing
Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As demonstrated by recent literature, multi-sensor and connected wearable devices might enable symptom detection and help tracing contacts, while also acquiring useful epidemiological information.
Ultra-Low Power Wake-Up Receiver for Location Aware Objects Operating with UWB
The most attractive feature of ultra-wide band for localization and positioning is the achievable centimeter-accuracy that can enable a highly secure spoofing-protected application. On the other hand, the main drawback that still limits its use in battery-operated devices is the high power consumption, especially in idle listening. Today most common approaches use duty cycling, which reduces the overall power consumption at the cost of increased latency. The paper presents a hardware wake-up radio with addressing capability for ultra-wide band communication and ranging. Moreover, the paper introduces a novel protocol that enables the generation of wake-up signals directly with any existing ultra-wide band
Aerosense
In the external pageAerosense project, a cost-effective smart measurement system is being developed that is thin, easy to install without damaging the blade, low power, self-sustaining and wirelessly transmitting.
external pageAn experimental system to acquire aeroacoustic properties on wind turbine blades