NeuroPose: 3D hand pose tracking using EMG wearables

Y Liu, S Zhang, M Gowda - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Ubiquitous finger motion tracking enables a number of exciting applications in augmented
reality, sports analytics, rehabilitation-healthcare, haptics etc. This paper presents …

Echowrist: Continuous hand pose tracking and hand-object interaction recognition using low-power active acoustic sensing on a wristband

CJ Lee, R Zhang, D Agarwal, TC Yu, V Gunda… - Proceedings of the CHI …, 2024 - dl.acm.org
Our hands serve as a fundamental means of interaction with the world around us. Therefore,
understanding hand poses and interaction contexts is critical for human-computer …

Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications

Y Liu, S Zhang, M Gowda, S Nelakuditi - Proceedings of the ACM on …, 2022 - dl.acm.org
mmWave signals form a critical component of 5G and next-generation wireless networks,
which are also being increasingly considered for sensing the environment around us to …

Learning on the rings: Self-supervised 3d finger motion tracking using wearable sensors

H Zhou, T Lu, Y Liu, S Zhang, M Gowda - Proceedings of the ACM on …, 2022 - dl.acm.org
This paper presents ssLOTR (self-supervised learning on the rings), a system that shows the
feasibility of designing self-supervised learning based techniques for 3D finger motion …

A practical system for 3-D hand pose tracking using EMG wearables with applications to prosthetics and user interfaces

Y Liu, S Zhang, M Gowda - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Ubiquitous finger motion tracking enables a number of exciting applications in augmented
reality, sports analytics, rehabilitation-healthcare, haptics, etc. This article presents …

Hand Tracking: Survey

J Heo, H Choi, Y Lee, H Kim, H Ji, H Park, Y Lee… - International Journal of …, 2024 - Springer
Hand tracking is relevant to such a variety of applications including human-robot interaction
(HRI), human-computer interaction (HCI), virtual reality (VR), and augmented reality (AR) …

Low-cost active dry-contact surface emg sensor for bionic arms

AM Naim, K Wickramasinghe, A De Silva… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
Surface electromyography (sEMG) is a popular bio-signal used for controlling prostheses
and finger gesture recognition mechanisms. Myoelectric prostheses are costly, and most …

Surface Electromyography Data Analysis for Evaluation of Physical Exercise Habits between Athletes and Non-Athletes during Indoor Rowing

T Grzejszczak, A Roksela, A Poświata, A Siemianowicz… - Sensors, 2024 - mdpi.com
In this paper, surface electromyography (sEMG) is used to gather the activation neural signal
from muscles during an indoor rowing exercise. The exercise was performed by professional …

EMGSense: A Low-Effort Self-Supervised Domain Adaptation Framework for EMG Sensing

D Duan, H Yang, G Lan, T Li, X Jia… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper presents EMGSense, a low-effort self-supervised domain adaptation framework
for sensing applications based on Electromyography (EMG). EMGSense addresses one of …

[PDF][PDF] Kiełbo n, A.; Mikulski, M. Surface Electromyography Data Analysis for Evaluation of Physical Exercise Habits between Athletes and Non-Athletes during Indoor …

T Grzejszczak, A Roksela, A Poswiata, A Siemianowicz - Sensors, 2024 - academia.edu
In this paper, surface electromyography (sEMG) is used to gather the activation neural signal
from muscles during an indoor rowing exercise. The exercise was performed by professional …