Finger motion detection glove toward human-machine interface

Ji Hoon Suh; Morteza Amjadi; Inkyu Park; Hyung Joun Yoo

doi:10.1109/ICSENS.2015.7370684

Finger motion detection glove toward human-machine interface

Ji Hoon Suh, Morteza Amjadi, Inkyu Park, Hyung Joun Yoo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

Finger motion capturing systems have a wide variety of applications such as telerobotics, rehabilitation, and avatar control. While commercial devices are too costly, studies on such systems are either impractical to use or have speed limitations. This paper proposes a practical version of the glove-based finger motion capturing system. This system can achieve a capture speed high enough to represent smooth and swift finger motions with considerably low cost. The system provides a speed of 54 Hz for 14 channels with their signal conditioning circuits and flexible strain sensors. In addition, the system has one-touch calibration mode for baseline cancellation, which makes it user-friendly more.

Original language	English
Title of host publication	2015 IEEE SENSORS
Publisher	IEEE
ISBN (Electronic)	9781479982035
DOIs	https://doi.org/10.1109/ICSENS.2015.7370684
Publication status	Published - 7 Jan 2016
Event	14th IEEE SENSORS - Busan, Korea, Republic of Duration: 1 Nov 2015 → 4 Nov 2015

Conference

Conference	14th IEEE SENSORS
Country/Territory	Korea, Republic of
City	Busan
Period	1/11/15 → 4/11/15

Keywords

baseline cancellation
finger motion detection
flexible strain sensor
portable glove
signal conditioning circuit

ASJC Scopus subject areas

Instrumentation
Electronic, Optical and Magnetic Materials
Spectroscopy
Electrical and Electronic Engineering

Access to Document

10.1109/ICSENS.2015.7370684

Cite this

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title = "Finger motion detection glove toward human-machine interface",

abstract = "Finger motion capturing systems have a wide variety of applications such as telerobotics, rehabilitation, and avatar control. While commercial devices are too costly, studies on such systems are either impractical to use or have speed limitations. This paper proposes a practical version of the glove-based finger motion capturing system. This system can achieve a capture speed high enough to represent smooth and swift finger motions with considerably low cost. The system provides a speed of 54 Hz for 14 channels with their signal conditioning circuits and flexible strain sensors. In addition, the system has one-touch calibration mode for baseline cancellation, which makes it user-friendly more.",

keywords = "baseline cancellation, finger motion detection, flexible strain sensor, portable glove, signal conditioning circuit",

author = "Suh, {Ji Hoon} and Morteza Amjadi and Inkyu Park and Yoo, {Hyung Joun}",

year = "2016",

month = jan,

day = "7",

doi = "10.1109/ICSENS.2015.7370684",

language = "English",

booktitle = "2015 IEEE SENSORS",

publisher = "IEEE",

address = "United States",

note = "14th IEEE SENSORS ; Conference date: 01-11-2015 Through 04-11-2015",

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TY - GEN

T1 - Finger motion detection glove toward human-machine interface

AU - Suh, Ji Hoon

AU - Amjadi, Morteza

AU - Park, Inkyu

AU - Yoo, Hyung Joun

PY - 2016/1/7

Y1 - 2016/1/7

N2 - Finger motion capturing systems have a wide variety of applications such as telerobotics, rehabilitation, and avatar control. While commercial devices are too costly, studies on such systems are either impractical to use or have speed limitations. This paper proposes a practical version of the glove-based finger motion capturing system. This system can achieve a capture speed high enough to represent smooth and swift finger motions with considerably low cost. The system provides a speed of 54 Hz for 14 channels with their signal conditioning circuits and flexible strain sensors. In addition, the system has one-touch calibration mode for baseline cancellation, which makes it user-friendly more.

AB - Finger motion capturing systems have a wide variety of applications such as telerobotics, rehabilitation, and avatar control. While commercial devices are too costly, studies on such systems are either impractical to use or have speed limitations. This paper proposes a practical version of the glove-based finger motion capturing system. This system can achieve a capture speed high enough to represent smooth and swift finger motions with considerably low cost. The system provides a speed of 54 Hz for 14 channels with their signal conditioning circuits and flexible strain sensors. In addition, the system has one-touch calibration mode for baseline cancellation, which makes it user-friendly more.

KW - baseline cancellation

KW - finger motion detection

KW - flexible strain sensor

KW - portable glove

KW - signal conditioning circuit

UR - http://www.scopus.com/inward/record.url?scp=84963621243&partnerID=8YFLogxK

U2 - 10.1109/ICSENS.2015.7370684

DO - 10.1109/ICSENS.2015.7370684

M3 - Conference contribution

AN - SCOPUS:84963621243

BT - 2015 IEEE SENSORS

PB - IEEE

T2 - 14th IEEE SENSORS

Y2 - 1 November 2015 through 4 November 2015

ER -

Finger motion detection glove toward human-machine interface

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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