Multitarget physical activities monitoring and classification using a V-band FMCW radar

VGR Varela, DVQ Rodrigues… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work proposes a radar-based physical activities monitoring solution capable of
detecting, classifying, and counting the number of repetitions of multiple human subjects …

Deep reinforcement learning-based task offloading in satellite-terrestrial edge computing networks

D Zhu, H Liu, T Li, J Sun, J Liang… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
In remote regions (eg, mountain and desert), cellular networks are usually sparsely
deployed or unavailable. With the appearance of new applications (eg, industrial automation …

Sensor-based gym physical exercise recognition: Data acquisition and experiments

A Hussain, K Zafar, AR Baig, R Almakki, L AlSuwaidan… - Sensors, 2022 - mdpi.com
Automatic tracking and quantification of exercises not only helps in motivating people but
also contributes towards improving health conditions. Weight training, in addition to aerobic …

RFID and camera fusion for recognition of human-object interactions

X Liu, D Liu, J Zhang, T Gu, K Li - Proceedings of the 27th Annual …, 2021 - dl.acm.org
Recognition of human-object interactions is practically important in various human-centric
sensing scenarios such as smart supermarket, factory, and home. This paper proposes an …

A time-efficient protocol for unknown tag identification in large-scale RFID systems

C Chu, J Niu, W Zheng, J Su… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In radio-frequency identification (RFID) applications, RFID tags attached to new, misplaced,
or counterfeited commodities sometimes may not be timely registered and are unknown for …

A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing

Z Zheng, Z Qin, K Li, T Qiu - Connection Science, 2022 - Taylor & Francis
Mobile Crowd Sensing (MCS) typically assigns sensing tasks in the same target area to
many participants considering data quality and the diversity of sensing devices. However …

Radio-Frequency-Identification-Based 3D Human Pose Estimation Using Knowledge-Level Technique

S Altaf, M Haroon, S Ahmad, EA Nasr, M Zaindin… - Electronics, 2023 - mdpi.com
Human pose recognition is a new field of study that promises to have widespread practical
applications. While there have been efforts to improve human position estimation with radio …

Vyayam: Artificial Intelligence based Bicep Curl Workout Tacking System

G Samhitha, DS Rao, C Rupa… - … and Smart Electrical …, 2021 - ieeexplore.ieee.org
As a famous saying goes “Exercise not only changes our body it changes our mind, attitude,
and mood”. Fitness is being a trend today. Everyone wants to be fit, beautiful, and healthy …

MetaFormer: Domain-Adaptive WiFi Sensing with Only One Labelled Target Sample

B Sheng, R Han, F Xiao, Z Guo, L Gui - … of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
WiFi based action recognition has attracted increasing attentions due to its convenience and
universality in real-world applications, whereas the domain dependency leads to poor …

WMS: Wearables-Based Multi-Sensor System for In-home Fitness Guidance

L Liang, Y Duan, J Che, C Tang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is now a powerful in-home fitness assistive technology.
This article presents a wearables-based multisensor system (WMS), which not only supports …