Energy harvesting for wireless IoT use cases: A generic feasibility model and tradeoff study

D Van Leemput, A Sabovic, K Hammoud… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
A batteryless Internet of Things (IoT) offers a sustainable alternative to battery-powered IoT
devices, which produce billions of dead batteries every year. Devices are instead powered …

A near-zero energy system based on a kinetic energy harvester for smart ranch

L Kong, M Tang, Z Zhang, Y Pan, H Cao, X Wang… - Iscience, 2022 - cell.com
Smart ranch relying on sensor systems to realize monitoring of animals and the environment
has emerged with the promotion of the Internet of Things (IoT). This paper proposes a near …

Machine learning and fuzzy logic in electronics: Applying intelligence in practice

M Ivanova, P Petkova, N Petkov - Electronics, 2021 - mdpi.com
The paper presents an analysis and summary of the current research state concerning the
application of machine learning and fuzzy logic for solving problems in electronics. The …

MP-HAR: A novel motion-powered real-time human activity recognition system

Z Chen, L Teng, L Xu, J Yu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the rapid advance of the Internet of Things (IoT), more and more wearable devices are
being developed for real-time monitoring. Most of these existing monitors are powered by …

Time-series-based feature selection and clustering for equine activity recognition using accelerometers

T De Waele, A Shahid, D Peralta… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With over 16 million horses worldwide and nearly 60000 sport horses registered to the
International Federation for Equestrian Sports database, tracking the activities and …

Design of a batteryless sensor for human activity recognition

T Huang - 2024 - repositories.lib.utexas.edu
Recent advancements in sensing technology coupled with the proliferation of cheap, low
power computing have enabled the growing popularity of wearable sensors in everyday …

[引用][C] A Battery-free Human Activity Recognition System Based on Kinetic Energy Harvesting

Z Chen, L Teng, J Liang