ArticleSensors (Basel, Switzerland)2019
A Tangible Solution for Hand Motion Tracking in Clinical Applications.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023.Journal of medical Internet research · 2024Pooled it
- Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review.Frontiers in human neuroscience · 2023Pooled it
- Evaluation of Commercial Camera-Based Solutions for Tracking Hand Kinematics.Sensors (Basel, Switzerland) · 2025Article
- Instrumental Validity of the Motion Detection Accuracy of a Smartphone-Based Training Game.International journal of environmental research and public health · 2021Article
- Paddle Stroke Analysis for Kayakers Using Wearable Technologies.Sensors (Basel, Switzerland) · 2021Article
- Prediction of Motion Intentions as a Novel Method of Upper Limb Rehabilitation Support.Sensors (Basel, Switzerland) · 2021Article
- Clip-On IMU System for Assessing Age-Related Changes in Hand Functions.Sensors (Basel, Switzerland) · 2020Article
- Inertial Sensors-Applications and Challenges in a Nutshell.Sensors (Basel, Switzerland) · 2020Article
- Estimation of Relative Hand-Finger Orientation Using a Small IMU Configuration.Sensors (Basel, Switzerland) · 2020Article
- Robust Plug-and-Play Joint Axis Estimation Using Inertial Sensors.Sensors (Basel, Switzerland) · 2020Article
- Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach.Sensors (Basel, Switzerland) · 2020Article
- Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots.Frontiers in robotics and AI · 2020Article
- Gesture Prediction Using Wearable Sensing Systems with Neural Networks for Temporal Data Analysis.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Objective real-time assessment of hand motion is crucial in many clinical applications including technically-assisted physical rehabilitation of the upper extremity. We propose an inertial-sensor-based hand motion tracking system and a set of dual-quaternion-based methods for estimation of finger segment orientations and fingertip positions. The proposed system addresses the specific requirements of clinical applications in two ways: (1) In contrast to glove-based approaches, the proposed solution maintains the sense of touch. (2) In contrast to previous work, the proposed methods avoid the use of complex calibration procedures, which means that they are suitable for patients with severe motor impairment of the hand. To overcome the limited significance of validation in lab environments with homogeneous magnetic fields, we validate the proposed system using functional hand motions in the presence of severe magnetic disturbances as they appear in realistic clinical settings. We show that standard sensor fusion methods that rely on magnetometer readings may perform well in perfect laboratory environments but can lead to more than 15 cm root-mean-square error for the fingertip distances in realistic environments, while our advanced method yields root-mean-square errors below 2 cm for all performed motions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.