A Tangible Solution for Hand Motion Tracking in Clinical Applications
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 se...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/19/1/208 |
| _version_ | 1798025353725214720 |
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| author | Christina Salchow-Hömmen Leonie Callies Daniel Laidig Markus Valtin Thomas Schauer Thomas Seel |
| author_facet | Christina Salchow-Hömmen Leonie Callies Daniel Laidig Markus Valtin Thomas Schauer Thomas Seel |
| author_sort | Christina Salchow-Hömmen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:18:44Z |
| format | Article |
| id | doaj.art-45f686af03d643219ee945791ff41360 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:18:44Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-45f686af03d643219ee945791ff413602022-12-22T04:09:50ZengMDPI AGSensors1424-82202019-01-0119120810.3390/s19010208s19010208A Tangible Solution for Hand Motion Tracking in Clinical ApplicationsChristina Salchow-Hömmen0Leonie Callies1Daniel Laidig2Markus Valtin3Thomas Schauer4Thomas Seel5Control Systems Group, Technische Universität Berlin, Berlin 10587, GermanyControl Systems Group, Technische Universität Berlin, Berlin 10587, GermanyControl Systems Group, Technische Universität Berlin, Berlin 10587, GermanyControl Systems Group, Technische Universität Berlin, Berlin 10587, GermanyControl Systems Group, Technische Universität Berlin, Berlin 10587, GermanyControl Systems Group, Technische Universität Berlin, Berlin 10587, GermanyObjective 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.http://www.mdpi.com/1424-8220/19/1/208inertial sensorinertial measurement unitreal-time motion trackinghand trackingmagnetic disturbancesdual quaternionshand and finger kinematicsrehabilitationfunctional electrical stimulation |
| spellingShingle | Christina Salchow-Hömmen Leonie Callies Daniel Laidig Markus Valtin Thomas Schauer Thomas Seel A Tangible Solution for Hand Motion Tracking in Clinical Applications Sensors inertial sensor inertial measurement unit real-time motion tracking hand tracking magnetic disturbances dual quaternions hand and finger kinematics rehabilitation functional electrical stimulation |
| title | A Tangible Solution for Hand Motion Tracking in Clinical Applications |
| title_full | A Tangible Solution for Hand Motion Tracking in Clinical Applications |
| title_fullStr | A Tangible Solution for Hand Motion Tracking in Clinical Applications |
| title_full_unstemmed | A Tangible Solution for Hand Motion Tracking in Clinical Applications |
| title_short | A Tangible Solution for Hand Motion Tracking in Clinical Applications |
| title_sort | tangible solution for hand motion tracking in clinical applications |
| topic | inertial sensor inertial measurement unit real-time motion tracking hand tracking magnetic disturbances dual quaternions hand and finger kinematics rehabilitation functional electrical stimulation |
| url | http://www.mdpi.com/1424-8220/19/1/208 |
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