Human-machine interaction technology for simultaneous gesture recognition and force assessment: A Review

L Zongxing, H Baizheng, C Yingjie… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The gesture recognition (GR) technology as one of the human–machine interfaces can
conveniently and effectively express the intention of human and has become the hot …

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Z Zhang, Y Dai, Z Xu, N Grimaldi, J Wang, M Zhao… - Biosensors, 2023 - mdpi.com
Some chronic diseases, including Parkinson's disease (PD), diabetic foot, flat foot, stroke,
elderly falling, and knee osteoarthritis (KOA), are related to orthopedic organs, nerves, and …

DANN-repositing strategy for zero retraining long-term hand gesture recognition using wearable A-mode ultrasound

Q Shangguan, Y Lian, S Cai, J Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The wearable A-mode ultrasound human-machine interface technology (HMI-A) is a
promising sensing modality, with many researchers achieving good results in strictly …

A Self‐Powered Dual Ratchet Angle Sensing System for Digital Twins and Smart Healthcare

C Liu, R Gu, J Yang, L Luo, M Chen… - Advanced Functional …, 2024 - Wiley Online Library
In the swiftly progressing landscape of wearable electronics and the Internet of Things
(IoTs), there is a burgeoning demand for devices that are lightweight, cost‐effective, and self …

Exploration of Foot-based Text Entry Techniques for Virtual Reality Environments

T Wan, L Zhang, H Yang, P Irani, L Yu… - Proceedings of the CHI …, 2024 - dl.acm.org
Foot-based input can serve as a supplementary or alternative approach to text entry in
virtual reality (VR). This work explores the feasibility and design of foot-based techniques …

The Human-Machine Interaction Methods and Strategies for Upper and Lower Extremity Rehabilitation Robots: A Review

L Zongxing, Z Jie, Y Ligang, C **shui… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The development of intelligent rehabilitation robots has greatly reduced the workload of
rehabilitation physicians. Human–machine interaction (HMI) control methods are a critical …

Continual Egocentric Activity Recognition with Foreseeable-Generalized Visual-IMU Representations

C He, S Cheng, Z Qiu, L Xu, F Meng… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The rapid advancement of wearable sensors has significantly facilitated data collection in
our daily lives. Human activity recognition (HAR), a prominent research area in wearable …

A Transfer Learning Strategy for Cross-Subject and Cross-Time Hand Gesture Recognition Based on A-mode Ultrasound

Y Lian, Z Lu, X Huang, Q Shangguan… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The hand gesture recognition (HGR) technology in A-mode ultrasound human–machine
interface (HMI-A), based on traditional machine learning, relies on intricate feature reduction …

Intelligent sensing technologies based on flexible wearable sensors: A Review

H Nong, M **, C Pan, H Zhou, C Zhang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Flexible wearable sensors, characterized by their stretchability, flexibility, lightweight, high
sensitivity, and the ability to dynamically and continuously measure multiple parameters …

Continual Egocentric Activity Recognition via Foreseeable-Generalized Multi-Modal Representations

C He, S Cheng, Z Qiu, L Xu, F Meng, Q Wu, H Li - Authorea Preprints, 2023 - techrxiv.org
The rapid development of wearable sensors promotes convenient data collection in human
daily life. Human Activity Recognition (HAR), as a prominent research direction for wearable …