Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

A review of hand gesture recognition systems based on noninvasive wearable sensors

R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Hand gesture recognition via enhanced densely connected convolutional neural network

YS Tan, KM Lim, CP Lee - Expert Systems with Applications, 2021 - Elsevier
Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

A review of EMG-, FMG-, and EIT-based biosensors and relevant human–machine interactivities and biomedical applications

Z Zheng, Z Wu, R Zhao, Y Ni, X Jing, S Gao - Biosensors, 2022 - mdpi.com
Wearables developed for human body signal detection receive increasing attention in the
current decade. Compared to implantable sensors, wearables are more focused on body …

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors

S Wang, A Wang, M Ran, L Liu, Y Peng, M Liu, G Su… - Information …, 2022 - Elsevier
The primary goal of hand gesture recognition with wearables is to facilitate the realization of
gestural user interfaces in mobile and ubiquitous environments. A key challenge in …

Radarsnn: A resource efficient gesture sensing system based on mm-wave radar

M Arsalan, A Santra, V Issakov - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radar offers a promising modality for enabling gesture recognition, which is a simple and
intuitive alternative to click and touch-based human–computer interface. In this article, we …

A review of algorithms and hardware implementations in electrical impedance tomography

Z Zong, Y Wang, Z Wei - Progress In Electromagnetics Research, 2020 - jpier.org
In recent years, electrical impedance tomography (EIT) has attracted intensive interests due
to its noninvasive, ionizing radiation-free, and low-cost advantages, which is promising for …

Wearable super-resolution muscle–machine interfacing

H Wang, S Zuo, M Cerezo-Sánchez… - Frontiers in …, 2022 - frontiersin.org
Muscles are the actuators of all human actions, from daily work and life to communication
and expression of emotions. Myography records the signals from muscle activities as an …

Electrical tomography hardware systems for real-time applications: A review

VK Tiwari, M Meribout, L Khezzar, K Alhammadi… - IEEE …, 2022 - ieeexplore.ieee.org
This paper presents a review of two-dimensional (2D) and three-dimensional (3D) electrical
tomography (ET) hardware accelerators for real-time applications. While many recent review …

Robust electrical impedance tomography for biological application: a mini review

Y Li, N Wang, LF Fan, PF Zhao, JH Li, L Huang… - Heliyon, 2023 - cell.com
Electrical impedance tomography (EIT) has been used by researchers across several areas
because of its low-cost and no-radiation properties. Researchers use complex conductivity …