Analysis of the Leap Motion Controller Workspace for HRI Gesture Applications

被引:2
|
作者
Toelgyessy, Michal [1 ]
Dekan, Martin [1 ]
Rodina, Jozef [1 ]
Duchon, Frantisek [1 ]
机构
[1] STU Bratislava, Fac Elect Engn & Informat Technol, Karlova Ves 84104, Slovakia
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 02期
关键词
leap motion controller; workspace evaluation; HMI (human-machine interaction); HRI (human-robot interaction); UR5; hand gesture recognition; RECOGNITION; ACCURACY; BEHAVIOR; SYSTEM;
D O I
10.3390/app13020742
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The Leap Motion Controller is a sensor for precise hand tracking; it is a device used for human interaction with computer systems via gestures. The study presented in this paper evaluates its workspace in real-world conditions. An exact replica of a human operator's hand was used to measure the sensor's precision, and therefore determine its hand tracking abilities in varying positions above the sensor. The replica was moved randomly across the workspace defined by the manufacturer, and precision was measured in each position. The hand model was placed in the furthest distances from the sensor to find every position where the sensor was still capable of tracking. We found the dimensions of the workspace in some cases exceeded the datasheet values; in other cases, the real workspace was smaller than the proclaimed one. We also computed precision in all positions, which shows tracking reliability. This study serves researchers developing HMI and HRI algorithms as a reference for the real dimensions of the Leap Motion Controller workspace as it provides extra and more precise information compared to the datasheet.
引用
下载
收藏
页数:13
相关论文
共 50 条
  • [1] Dynamic Hand Gesture Recognition With Leap Motion Controller
    Lu, Wei
    Tong, Zheng
    Chu, Jinghui
    IEEE SIGNAL PROCESSING LETTERS, 2016, 23 (09) : 1188 - 1192
  • [2] Hand Gesture Recognition with Augmented Reality and Leap Motion Controller
    Huo, Jiage
    Keung, K. L.
    Lee, C. K. M.
    Ng, H. Y.
    2021 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM21), 2021, : 1015 - 1019
  • [3] Hand Rehabilitation via Gesture Recognition using Leap Motion Controller
    Cohen, Miri Weiss
    Voldman, Israel
    Regazzoni, Daniele
    Vitali, Andrea
    2018 11TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION (HSI), 2018, : 404 - 410
  • [4] Hand Gesture Recognition Using Infrared Imagery Provided by Leap Motion Controller
    Mantecon, Tomas
    del-Blanco, Carlos R.
    Jaureguizar, Fernando
    Garcia, Narciso
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016, 2016, 10016 : 47 - 57
  • [5] An interactive gesture control system for collaborative manipulator based on Leap Motion Controller
    Li, Yunhan
    Lou, Jingjing
    Cai, Zhiduan
    Zheng, Pengfei
    Wu, Haijun
    Wang, Xiaosun
    ADVANCES IN MECHANICAL ENGINEERING, 2024, 16 (05)
  • [6] Enhance Robotics ability in Hand Gesture Recognition by Using Leap Motion Controller
    Almarzuqi, Alaa Ahmed
    Buhari, Seyed Mohamed
    ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, 2017, 2 : 513 - 523
  • [7] Analysis of the Accuracy and Robustness of the Leap Motion Controller
    Weichert, Frank
    Bachmann, Daniel
    Rudak, Bartholomaeus
    Fisseler, Denis
    SENSORS, 2013, 13 (05): : 6380 - 6393
  • [8] Leap Motion Performance in an Augmented Reality Workspace
    Wright, Trinette
    de Ribaupierre, Sandrine
    Eagleson, Roy
    IEEE CONSUMER ELECTRONICS MAGAZINE, 2019, 8 (01) : 36 - 41
  • [9] A HAND GESTURE-BASED INTERFACE FOR DESIGN REVIEW USING LEAP MOTION CONTROLLER
    Xiao Yu
    Peng Qingjin
    DS87-8 PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN (ICED 17), VOL 8: HUMAN BEHAVIOUR IN DESIGN, 2017, : 239 - 248
  • [10] Comparison of Hand Gesture inputs of Leap Motion Controller & Data Glove in to a Soft Finger
    Gunawardane, P. D. S. H.
    Medagedara, Nimali T.
    2017 IEEE 5TH INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IRIS), 2017, : 62 - 68