Applications of the PowerGlove for measurement of finger kinematics

J.C. van den Noort; K. van Dijk; H.G. Kortier; P.H. Veltink; N. van Beek; R. Verhagen; L.J. Bour

doi:10.1109/BSN.Workshops.2014.19

Applications of the PowerGlove for measurement of finger kinematics

J.C. van den Noort, K. van Dijk, H.G. Kortier, P.H. Veltink, N. van Beek, R. Verhagen, L.J. Bour

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Hand motor control is quite complex and measurement of hand kinematics is therefore of high interest in many fields. A new measurement system based on miniature inertial and magnetic sensors, the PowerGlove, has been developed. In the near future, the PowerGlove will be applied to study finger interdependency in healthy elderly and to objectively quantify hand motor symptoms in Parkinson’s disease. To validate and test the feasibility of the PowerGlove for future application Validation experiments with an optoelectronic marker system and pilot experiments in young healthy subjects were performed, specifically focused on measurement of metacarpophalangeal joint flexion/extension (MCP), proximal interphalangeal joint flexion (PIP) and finger tapping. Mean root mean square (RMS) difference between the optoelectronic marker system and the PowerGlove was less than 5 degrees. The results from the pilot experiments showed the feasibility of the PowerGlove to quantify each finger and joint movement in different movement tasks that are of interest for application in aged subjects and Parkinson disease patients.

Original language	English
Title of host publication	11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014
Editors	G. Troster, G. Cantarella
Place of Publication	Zurich
Publisher	IEEE
Pages	6-10
Number of pages	5
ISBN (Print)	978-1-4799-6135-1
DOIs	https://doi.org/10.1109/BSN.Workshops.2014.19
Publication status	Published - 19 Jun 2014
Event	11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014 - Zuerich, Switzerland Duration: 16 Jun 2014 → 20 Jun 2014

Publication series

Name	Wearable and Implantable Body Sensor Networks (BSN) International Conference
Publisher	IEEE
Volume	2014

Workshop

Workshop	11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014
Period	16/06/14 → 20/06/14
Other	16-20 June 2014

Keywords

BSS-Electrical Neurostimulation
BSS-Biomechatronics and rehabilitation technology
Hand motor control
Finger kinematics
Finger interdependency
PowerGlove

Access to Document

10.1109/BSN.Workshops.2014.19

Cite this

van den Noort, J. C., van Dijk, K., Kortier, H. G., Veltink, P. H., van Beek, N., Verhagen, R., & Bour, L. J. (2014). Applications of the PowerGlove for measurement of finger kinematics. In G. Troster, & G. Cantarella (Eds.), 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014 (pp. 6-10). (Wearable and Implantable Body Sensor Networks (BSN) International Conference; Vol. 2014). IEEE. https://doi.org/10.1109/BSN.Workshops.2014.19

@inproceedings{b93a7a6ab72340e7ab1c7ba4213da4e7,

title = "Applications of the PowerGlove for measurement of finger kinematics",

abstract = "Hand motor control is quite complex and measurement of hand kinematics is therefore of high interest in many fields. A new measurement system based on miniature inertial and magnetic sensors, the PowerGlove, has been developed. In the near future, the PowerGlove will be applied to study finger interdependency in healthy elderly and to objectively quantify hand motor symptoms in Parkinson{\textquoteright}s disease. To validate and test the feasibility of the PowerGlove for future application Validation experiments with an optoelectronic marker system and pilot experiments in young healthy subjects were performed, specifically focused on measurement of metacarpophalangeal joint flexion/extension (MCP), proximal interphalangeal joint flexion (PIP) and finger tapping. Mean root mean square (RMS) difference between the optoelectronic marker system and the PowerGlove was less than 5 degrees. The results from the pilot experiments showed the feasibility of the PowerGlove to quantify each finger and joint movement in different movement tasks that are of interest for application in aged subjects and Parkinson disease patients.",

keywords = "BSS-Electrical Neurostimulation, BSS-Biomechatronics and rehabilitation technology, Hand motor control, Finger kinematics, Finger interdependency, PowerGlove",

author = "{van den Noort}, J.C. and {van Dijk}, K. and H.G. Kortier and P.H. Veltink and {van Beek}, N. and R. Verhagen and L.J. Bour",

year = "2014",

month = jun,

day = "19",

doi = "10.1109/BSN.Workshops.2014.19",

language = "English",

isbn = "978-1-4799-6135-1",

series = "Wearable and Implantable Body Sensor Networks (BSN) International Conference",

publisher = "IEEE",

pages = "6--10",

editor = "G. Troster and G. Cantarella",

booktitle = "11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014",

address = "United States",

note = "11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014 ; Conference date: 16-06-2014 Through 20-06-2014",

}

van den Noort, JC, van Dijk, K, Kortier, HG, Veltink, PH, van Beek, N, Verhagen, R & Bour, LJ 2014, Applications of the PowerGlove for measurement of finger kinematics. in G Troster & G Cantarella (eds), 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014. Wearable and Implantable Body Sensor Networks (BSN) International Conference, vol. 2014, IEEE, Zurich, pp. 6-10, 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014, 16/06/14. https://doi.org/10.1109/BSN.Workshops.2014.19

Applications of the PowerGlove for measurement of finger kinematics. / van den Noort, J.C.; van Dijk, K.; Kortier, H.G. et al.
11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014. ed. / G. Troster; G. Cantarella. Zurich: IEEE, 2014. p. 6-10 (Wearable and Implantable Body Sensor Networks (BSN) International Conference; Vol. 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Veltink, P.H.

AU - van Beek, N.

AU - Verhagen, R.

AU - Bour, L.J.

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N2 - Hand motor control is quite complex and measurement of hand kinematics is therefore of high interest in many fields. A new measurement system based on miniature inertial and magnetic sensors, the PowerGlove, has been developed. In the near future, the PowerGlove will be applied to study finger interdependency in healthy elderly and to objectively quantify hand motor symptoms in Parkinson’s disease. To validate and test the feasibility of the PowerGlove for future application Validation experiments with an optoelectronic marker system and pilot experiments in young healthy subjects were performed, specifically focused on measurement of metacarpophalangeal joint flexion/extension (MCP), proximal interphalangeal joint flexion (PIP) and finger tapping. Mean root mean square (RMS) difference between the optoelectronic marker system and the PowerGlove was less than 5 degrees. The results from the pilot experiments showed the feasibility of the PowerGlove to quantify each finger and joint movement in different movement tasks that are of interest for application in aged subjects and Parkinson disease patients.

AB - Hand motor control is quite complex and measurement of hand kinematics is therefore of high interest in many fields. A new measurement system based on miniature inertial and magnetic sensors, the PowerGlove, has been developed. In the near future, the PowerGlove will be applied to study finger interdependency in healthy elderly and to objectively quantify hand motor symptoms in Parkinson’s disease. To validate and test the feasibility of the PowerGlove for future application Validation experiments with an optoelectronic marker system and pilot experiments in young healthy subjects were performed, specifically focused on measurement of metacarpophalangeal joint flexion/extension (MCP), proximal interphalangeal joint flexion (PIP) and finger tapping. Mean root mean square (RMS) difference between the optoelectronic marker system and the PowerGlove was less than 5 degrees. The results from the pilot experiments showed the feasibility of the PowerGlove to quantify each finger and joint movement in different movement tasks that are of interest for application in aged subjects and Parkinson disease patients.

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KW - Finger interdependency

KW - PowerGlove

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M3 - Conference contribution

SN - 978-1-4799-6135-1

T3 - Wearable and Implantable Body Sensor Networks (BSN) International Conference

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BT - 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014

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PB - IEEE

CY - Zurich

T2 - 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014

Y2 - 16 June 2014 through 20 June 2014

ER -

van den Noort JC, van Dijk K, Kortier HG, Veltink PH, van Beek N, Verhagen R et al. Applications of the PowerGlove for measurement of finger kinematics. In Troster G, Cantarella G, editors, 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014. Zurich: IEEE. 2014. p. 6-10. (Wearable and Implantable Body Sensor Networks (BSN) International Conference). doi: 10.1109/BSN.Workshops.2014.19

Applications of the PowerGlove for measurement of finger kinematics

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Keywords

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