article

Discrimination and identification of finger joint-angle position using active motion

Authors:

Mandayam A. Srinivasan,

Charlotte M. Reed,

Nathaniel I. DurlachAuthors Info & Claims

ACM Transactions on Applied Perception (TAP), Volume 4, Issue 2

Pages 10 - es

https://doi.org/10.1145/1265957.1265959

Published: 01 July 2007 Publication History

Abstract

The authors report six experiments on the human ability to discriminate and identify finger joint-angle positions using active motion. The PIP (proximal interphalangeal) joint of the index finger was examined in Exps. 1--3 and the MCP (metacarpophalangeal) joint in Exps. 4--6. In Exp. 1, the just noticeable difference (JND) of PIP joint-angle position was measured when the MCP joint was either fully extended or halfway bent. In Exp. 2, the JND of PIP joint-angle position as a function of PIP joint-angle reference position was measured when the PIP joint was almost fully extended, halfway bent, or almost fully flexed. In Exp. 3, the information transfer of PIP joint-angle position was estimated with the MCP joint in a fully extended position. In Exps. 4--6, the JND and the information transfer of MCP joint-angle position were studied with a similar experimental design. The results show that the JNDs of the PIP joint-angle position were roughly constant (2.5°−2.7°) independent of the PIP joint-angle reference position or the MCP joint-angle position used (Exps. 1 and 2). The JNDs of the MCP joint-angle position, however, increased with the flexion of both the PIP and MCP joints and ranged from 1.7° to 2.7° (Exps. 4 and 5). The information transfer of the PIP and MCP joint-angle position were similar, indicating 3--4 perfectly identifiable joint-angle positions for both joints (Exps. 3 and 6). The results provide the basic data needed for estimating, for example, the resolution of fingertip position during active free motion. They are compared to the results from previous studies on joint position, length, and thickness perception.

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Cited By

Vanichvoranun NLee HKim SYoon S(2024)EStatiG: Wearable Haptic Feedback with Multi-Phalanx Electrostatic Brake for Enhanced Object Perception in VRProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785678:3(1-29)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678567
Long KMcLellan KBoyarinova MBensmaia S(2022)Proprioceptive sensitivity to imposed finger deflectionsJournal of Neurophysiology10.1152/jn.00513.2021127:2(412-420)Online publication date: 1-Feb-2022
https://doi.org/10.1152/jn.00513.2021
Wei QLi MHu JFeijs L(2022)Perceived Depth and Roughness of Virtual Buttons With TouchscreensIEEE Transactions on Haptics10.1109/TOH.2021.312660915:2(315-327)Online publication date: 1-Apr-2022
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Index Terms

Discrimination and identification of finger joint-angle position using active motion
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction devices
      1. Haptic devices

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cover image ACM Transactions on Applied Perception

ACM Transactions on Applied Perception Volume 4, Issue 2

July 2007

110 pages

ISSN:1544-3558

EISSN:1544-3965

DOI:10.1145/1265957

Issue’s Table of Contents

Copyright © 2007 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2007

Published in TAP Volume 4, Issue 2

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Cited By

Vanichvoranun NLee HKim SYoon S(2024)EStatiG: Wearable Haptic Feedback with Multi-Phalanx Electrostatic Brake for Enhanced Object Perception in VRProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785678:3(1-29)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678567
Long KMcLellan KBoyarinova MBensmaia S(2022)Proprioceptive sensitivity to imposed finger deflectionsJournal of Neurophysiology10.1152/jn.00513.2021127:2(412-420)Online publication date: 1-Feb-2022
https://doi.org/10.1152/jn.00513.2021
Wei QLi MHu JFeijs L(2022)Perceived Depth and Roughness of Virtual Buttons With TouchscreensIEEE Transactions on Haptics10.1109/TOH.2021.312660915:2(315-327)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1109/TOH.2021.3126609
Lee YDo WYoon HHeo JLee WLee D(2021)Visual-inertial hand motion tracking with robustness against occlusion, interference, and contactScience Robotics10.1126/scirobotics.abe13156:58Online publication date: 29-Sep-2021
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Tan HChoi SLau FAbnousi F(2020)Methodology for Maximizing Information Transmission of Haptic Devices: A SurveyProceedings of the IEEE10.1109/JPROC.2020.2992561108:6(945-965)Online publication date: Jun-2020
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Baldi TD'Aurizio NPrattichizzo D(2020)Hand Guidance Using Grasping Metaphor and Wearable Haptics2020 IEEE Haptics Symposium (HAPTICS)10.1109/HAPTICS45997.2020.ras.HAP20.3.3eea0b25(961-967)Online publication date: Mar-2020
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Prendergast BBrooks JGoodman JBoyarinova MWinberry JBensmaia S(2019)Finger Posture and Finger Load are Perceived IndependentlyScientific Reports10.1038/s41598-019-51131-x9:1Online publication date: 21-Oct-2019
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