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 …

Electrical impedance tomography: From the traditional design to the novel frontier of wearables

F Pennati, A Angelucci, L Morelli, S Bardini, E Barzanti… - Sensors, 2023 - mdpi.com
Electrical impedance tomography (EIT) is a medical imaging technique based on the
injection of a current or voltage pattern through electrodes on the skin of the patient, and on …

A human–machine interface using electrical impedance tomography for hand prosthesis control

Y Wu, D Jiang, X Liu, R Bayford… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a human-machine interface that establishes a link between the user
and a hand prosthesis. It successfully uses electrical impedance tomography, a …

Hand gesture recognition using three-dimensional electrical impedance tomography

D Jiang, Y Wu, A Demosthenous - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This brief presents a 16-electrode electrical impedance tomography (EIT) system for hand
gesture recognition. The hardware of the system is based on integrated circuits including a …

An optimal electrical impedance tomography drive pattern for human-computer interaction applications

G Ma, Z Hao, X Wu, X Wang - IEEE transactions on biomedical …, 2020 - ieeexplore.ieee.org
In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern
based on feature selection and model explanation, and proposed a portable EIT system for …

EIT-kit: An electrical impedance tomography toolkit for health and motion sensing

J Zhu, JC Snowden, J Verdejo, E Chen… - The 34th Annual ACM …, 2021 - dl.acm.org
In this paper, we propose EIT-kit, an electrical impedance tomography toolkit for designing
and fabricating health and motion sensing devices. EIT-kit contains (1) an extension to a 3D …

Hydrogel pressure distribution sensors based on an imaging strategy and machine learning

Z Liu, T Zhang, M Yang, W Gao, S Wu… - ACS Applied …, 2021 - ACS Publications
A flexible hydrogel pressure distribution sensor has promising application prospects.
However, the current hydrogel pressure distribution sensors are based on an array-type …

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 …

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 …

Hand sign recognition system based on EIT imaging and robust CNN classification

BB Atitallah, Z Hu, D Bouchaala… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Hand sign recognition is gaining importance in human-human and in human-machine
communication and interaction. Electrical Impedance Tomography (EIT) is thereby very …