Browsing CSEM Archive by Research Areas "IoT & Vision"
Now showing items 21-40 of 57
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Deploying a Convolutional Neural Network on Edge MCU and Neuromorphic Hardware Platforms
(2022-06)The rapid development of embedded technologies in recent decades has led to the advent of dedicated inference platforms for deep learning. However, unlike development libraries for the algorithms, hardware deployment is ... -
Efficient Neural Vision Systems Based on Convolutional Image Acquisition
(2020-06-14)Despite the substantial progress made in deep learning in recent years, advanced approaches remain computationally intensive. The trade-off between accuracy and computation time and energy limits their use in real-time ... -
Efficient Through-Waveguide Wireless Power Transfer for Body Area Networks
(2017-10-04)This paper focuses on a solution for wireless powering of sensor nodes embedded in an artificial “skin”, used to provide a sense of touch to persons using prosthetic limbs. The artificial “skin”, that consists of an inner ... -
Efficient, Compact 868MHz Antenna for Retrofit of Electronic Appliance
(2019-09-05)This paper describes a wire loop antenna with a parasitic element, designed for use in smart smoke detector, acting as a wireless gateway. The antenna has been designed, prototyped and tuned to 868MHz band, then it was ... -
Electrodes in multi-sensor wearables
(2022-01-12) -
Energy-Autonomous MCU Operating in sub-VT Regime with Tightly-Integrated Energy-Harvester : A SoC for IoT smart nodes containing a MCU with minimum-energy point of 2.9pJ/cycle and a harvester with output power range from sub-µW to 4.32mW
(2019)We describe a SoC achieving zero-net-energy operation by using energy harvesting and sub-threshold design. It consists of a microcontroller for data acquisition, data processing, and communication and an energy harvester ... -
Evaluation of a Wearable System for Fetal ECG Monitoring Using Cooperative Sensors
(2022-07-11)Fetal electrocardiography (fECG) has gotten widespread interest in the last years as technology for fetal monitoring. Compared to cardiotocography (CTG), the current state of the art, it can be designed in smaller formfactor ... -
FM-UWB: Towards a Robust, Low-Power Radio for Body Area Networks
(2017)The Frequency Modulated Ultra-Wideband (FM-UWB) is known as a low-power, low-complexity modulation scheme targeting low to moderate data rates in applications such as wireless body area networks. In this paper, a thorough ... -
Generative Pre-Trained Transformer for Cardiac Abnormality Detection
(2021-09-13)ECG heartbeat classi?cation plays a vital role in diagnosis of cardiac arrhythmia. The goal of the Physionet/CinC 2021 challenge was to accurately classify clinical diagnosis based on 12, 6, 4, 3 or 2-lead ECG recordings ... -
Leveraging MAC Preambles for an Efficient Link Estimation
(2018)Estimating the quality of a link is a key primitive in WSNs, as upper layers use this piece of information in making performance-critical decisions. State-of-the-art estimators extract a single sample of the link state per ...