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 proceedingConference contribution

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 languageEnglish
Title of host publication2015 IEEE SENSORS
PublisherIEEE
ISBN (Electronic)9781479982035
DOIs
Publication statusPublished - 7 Jan 2016
Event14th IEEE SENSORS - Busan, Korea, Republic of
Duration: 1 Nov 20154 Nov 2015

Conference

Conference14th IEEE SENSORS
CountryKorea, Republic of
CityBusan
Period1/11/154/11/15

Fingerprint

gloves
Signal conditioning circuits
telerobotics
touch
conditioning
Patient rehabilitation
cancellation
high speed
Calibration
sensors
Sensors
Costs

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

Cite this

Suh, J. H., Amjadi, M., Park, I., & Yoo, H. J. (2016). Finger motion detection glove toward human-machine interface. In 2015 IEEE SENSORS [7370684] IEEE. https://doi.org/10.1109/ICSENS.2015.7370684
Suh, Ji Hoon ; Amjadi, Morteza ; Park, Inkyu ; Yoo, Hyung Joun. / Finger motion detection glove toward human-machine interface. 2015 IEEE SENSORS. IEEE, 2016.
@inproceedings{d4f8986349d1444dac10bf77d4cb296e,
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 = "1",
day = "7",
doi = "10.1109/ICSENS.2015.7370684",
language = "English",
booktitle = "2015 IEEE SENSORS",
publisher = "IEEE",
address = "United States",

}

Suh, JH, Amjadi, M, Park, I & Yoo, HJ 2016, Finger motion detection glove toward human-machine interface. in 2015 IEEE SENSORS., 7370684, IEEE, 14th IEEE SENSORS, Busan, Korea, Republic of, 1/11/15. https://doi.org/10.1109/ICSENS.2015.7370684

Finger motion detection glove toward human-machine interface. / Suh, Ji Hoon; Amjadi, Morteza; Park, Inkyu; Yoo, Hyung Joun.

2015 IEEE SENSORS. IEEE, 2016. 7370684.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

ER -