Literature DB >> 25902961

Evaluation of a portable markerless finger position capture device: accuracy of the Leap Motion controller in healthy adults.

James Y Tung1, Tea Lulic, Dave A Gonzalez, Johnathan Tran, Clark R Dickerson, Eric A Roy.   

Abstract

Although motion analysis is frequently employed in upper limb motor assessment (e.g. visually-guided reaching), they are resource-intensive and limited to laboratory settings. This study evaluated the reliability and accuracy of a new markerless motion capture device, the Leap Motion controller, to measure finger position. Testing conditions that influence reliability and agreement between the Leap and a research-grade motion capture system were examined. Nine healthy young adults pointed to 15 targets on a computer screen under two conditions: (1) touching the target (touch) and (2) 4 cm away from the target (no-touch). Leap data was compared to an Optotrak marker attached to the index finger. Across all trials, root mean square (RMS) error of the Leap system was 17.30  ±  9.56 mm (mean ± SD), sampled at 65.47  ±  21.53 Hz. The % viable trials and mean sampling rate were significantly lower in the touch condition (44% versus 64%, p < 0.001; 52.02  ±  2.93 versus 73.98  ±  4.48 Hz, p = 0.003). While linear correlations were high (horizontal: r(2) = 0.995, vertical r(2) = 0.945), the limits of agreement were large (horizontal: -22.02 to +26.80 mm, vertical: -29.41 to +30.14 mm). While not as precise as more sophisticated optical motion capture systems, the Leap Motion controller is sufficiently reliable for measuring motor performance in pointing tasks that do not require high positional accuracy (e.g. reaction time, Fitt's, trails, bimanual coordination).

Mesh:

Year:  2015        PMID: 25902961     DOI: 10.1088/0967-3334/36/5/1025

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 in total

1.  Analysis of the Leap Motion Controller's Performance in Measuring Wrist Rehabilitation Tasks Using an Industrial Robot Arm Reference.

Authors:  Rogério S Gonçalves; Marcus R S B de Souza; Giuseppe Carbone
Journal:  Sensors (Basel)       Date:  2022-06-28       Impact factor: 3.847

2.  Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints' Kinematics.

Authors:  Alba Roda-Sales; Joaquín L Sancho-Bru; Margarita Vergara
Journal:  Sensors (Basel)       Date:  2022-05-15       Impact factor: 3.847

3.  Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements.

Authors:  Ewa Niechwiej-Szwedo; David Gonzalez; Mina Nouredanesh; James Tung
Journal:  PLoS One       Date:  2018-03-12       Impact factor: 3.240

4.  Counting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals.

Authors:  Zhen Gang Xiao; Carlo Menon
Journal:  JMIR Rehabil Assist Technol       Date:  2017-05-16

Review 5.  Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller.

Authors:  Daniel Bachmann; Frank Weichert; Gerhard Rinkenauer
Journal:  Sensors (Basel)       Date:  2018-07-07       Impact factor: 3.576

6.  Application of digital practice to improve head movement, visual perception and activities of daily living for subacute stroke patients with unilateral spatial neglect: Preliminary results of a single-blinded, randomized controlled trial.

Authors:  Ho-Suk Choi; Won-Seob Shin; Dae-Hyouk Bang
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

7.  Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System.

Authors:  Yongfei Feng; Mingwei Zhong; Fangyan Dong
Journal:  Sensors (Basel)       Date:  2022-09-26       Impact factor: 3.847

8.  A Self-Managed System for Automated Assessment of UPDRS Upper Limb Tasks in Parkinson's Disease.

Authors:  Claudia Ferraris; Roberto Nerino; Antonio Chimienti; Giuseppe Pettiti; Nicola Cau; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Lorenzo Priano; Alessandro Mauro
Journal:  Sensors (Basel)       Date:  2018-10-18       Impact factor: 3.576

9.  Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System.

Authors:  Amartya Ganguly; Gabriel Rashidi; Katja Mombaur
Journal:  Sensors (Basel)       Date:  2021-03-03       Impact factor: 3.576

  9 in total

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