Continuous Estimation of Hand Kinematics From Electromyographic Signals Based on Power-and Time-Efficient Transformer Deep Learning Network

Authors: Lin, C., Zhao, C., Zhang, J., Chen, C., Jiang, N., Farina, D., Guo, W.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 33:58-67 2025

Kinematic Synthesis and Analysis of Upper Limb Prosthetic Finger

Authors: Sharma, Ayush, Mishra, Ruby

Source: 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2023 Second International Conference on. :1-5 Apr, 2023

Relation: 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)

Optimized Model Selection for Concurrent Decoding of Finger Kinetics and Kinematics

Authors: Roy, R., Kamper, D.G., Hu, X.

Source: IEEE Access Access, IEEE. 11:17348-17358 2023

Optimisation and Comparison of Markerless and Marker-Based Motion Capture Methods for Hand and Finger Movement Analysis

Authors: Valentin Maggioni, Christine Azevedo-Coste, Sam Durand, François Bailly

Source: Sensors, Vol 25, Iss 4, p 1079 (2025)

Subject Terms: markerless motion capture, hand and finger kinematics, skeletal model, ecological movements, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/4/1079; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/8c821edb8b654ff4ad3526ddab90bd0a

Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyography

Authors: Chuang Lin, Xiaobing Zhang

Source: Frontiers in Neurorobotics, Vol 18 (2024)

Subject Terms: surface electromyography, human-computer interaction, continuous estimation, finger kinematics, deep learning, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnbot.2024.1305605/full; https://doaj.org/toc/1662-5218

Access URL: https://doaj.org/article/2500e972d1444069a5e5c141cd9bcead

Applications of the PowerGlove for Measurement of Finger Kinematics

Authors: Van Den Noort, J., Van Dijk, K., Kortier, H., Van Beek, N., Verhagen, R., Bour, L., Veltink, P.

Source: 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops Wearable and Implantable Body Sensor Networks Workshops (BSN Workshops), 2014 11th International Conference on. :6-10 Jun, 2014

Relation: 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops (BSN Workshops)

Finger Kinematics during Human Hand Grip and Release

Authors: Xiaodong Li, Rongwei Wen, Dehao Duanmu, Wei Huang, Kinto Wan, Yong Hu

Source: Biomimetics, Vol 8, Iss 2, p 244 (2023)

Subject Terms: finger kinematics, motion coordination, grasping and release, robotic hand, bio-inspired, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/2313-7673/8/2/244; https://doaj.org/toc/2313-7673

Access URL: https://doaj.org/article/578911b699fd4caba8171eaa89ce5f33

Finger Grasp Kinematics Towards Exoskeleton Development

Authors: McKenzie, Lachlan R., Fortune, Benjamin C., Chatfield, Logan T., Pretty, Chris G.

Source: In IFAC PapersOnLine 2020 53(2):15934-15939

Modular finger and hand motion capturing system based on inertial and magnetic sensors

Authors: Valtin Markus, Salchow Christina, Seel Thomas, Laidig Daniel, Schauer Thomas

Source: Current Directions in Biomedical Engineering, Vol 3, Iss 1, Pp 19-23 (2017)

Subject Terms: inertial measurement units, joint angle estimation, hand and finger kinematics, human motion analysis, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/2364-5504

Access URL: https://doaj.org/article/0a743e1cf79640ad87d26d156aae71f5

Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System

Authors: Amartya Ganguly, Gabriel Rashidi, Katja Mombaur

Source: Sensors, Vol 21, Iss 5, p 1750 (2021)

Subject Terms: Leap Motion Controller™, motion capture, finger kinematics, Bland–Altman analysis, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/5/1750; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/cb4ab01e474c4068987d37b1cb778c36

Clip-On IMU System for Assessing Age-Related Changes in Hand Functions

Authors: Seungjae Lee, Hyejeong Lee, Jongshill Lee, Hokyoung Ryu, In Young Kim, Jieun Kim

Source: Sensors, Vol 20, Iss 21, p 6313 (2020)

Subject Terms: hand and finger kinematics, inertial measurement units, targeted box and block test, real-time motion, hand function assessment, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/21/6313; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/6f81d1fcb36b4bad9633e636bf79f1be

Development and Application of a Motion Analysis Protocol for the Kinematic Evaluation of Basic and Functional Hand and Finger Movements Using Motion Capture in a Clinical Setting—A Repeatability Study

Authors: Gabriella Fischer, Diana Jermann, Renate List, Lisa Reissner, Maurizio Calcagni

Source: Applied Sciences, Vol 10, Iss 18, p 6436 (2020)

Subject Terms: finger kinematics, hand kinematics, functional joint coordinate system, motion analysis protocol, minimal detectable difference, range of motion, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/18/6436; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/1aff1e774e1844b0a8ee78387c0aceb8

A Tangible Solution for Hand Motion Tracking in Clinical Applications

Authors: Christina Salchow-Hömmen, Leonie Callies, Daniel Laidig, Markus Valtin, Thomas Schauer, Thomas Seel

Source: Sensors, Vol 19, Iss 1, p 208 (2019)

Subject Terms: inertial sensor, inertial measurement unit, real-time motion tracking, hand tracking, magnetic disturbances, dual quaternions, hand and finger kinematics, rehabilitation, functional electrical stimulation, Chemical technology, TP1-1185

File Description: electronic resource

Relation: http://www.mdpi.com/1424-8220/19/1/208; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/45f686af03d643219ee945791ff41360

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˜Einœ flexibles Greifsystem für Roboterassistenten im Haushalt
˜ A flexible gripping system for robot assistants in the household

Authors: Wegener, Kai

Availability: http://data.europeana.eu/aggregation/europeana/2048441/item_C6SHLB4W35SLFXBYMMG2A5OIKQ433FYT

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