Using inertial and magnetic sensors for hand tracking and rendering in wearable haptics

被引:0
|
作者
Baldi, Tommaso Lisini [1 ,2 ]
Mohammadi, Mostafa [1 ,2 ]
Scheggi, Stefano [1 ]
Prattichizzo, Domenico [1 ,2 ]
机构
[1] Univ Siena, Dept Informat Engn & Math, I-53100 Siena, Italy
[2] Ist Italiano Tecnol, Dept Adv Robot, I-16163 Genoa, Italy
关键词
GLOVE; DEVICE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the last years, wearable haptic technologies became very promising since they provide the users with tactile force feedback via small and wearable interfaces. However, they have no position sensing thus additional technologies like motion capture systems or expensive gloves are required. Recently, low cost hand tracking systems based on RGB-D cameras have been developed, however they suffer from lighting conditions and occlusions. In this paper we present a sensing glove based on inertial and magnetic sensors for hand tracking which can be combined with cutaneous devices for the rendering of the force feedback, thus producing a wearable sensing/actuation system. The sensing glove does not suffer from occlusion problems, it is wearable and cost effective however, since the employed sensors use the magnetometer to compensate the drift, they are sensitive to variations in the magnetic field. This property makes it challenging to interface the sensing glove with wearable devices since their motors generate variations in the magnetic field. Preliminary experiments showed the effectiveness of using inertial and magnetic sensors for hand tracking. A comparison between using the glove with and without the haptic devices was presented in order to compare the tracking performance when cutaneous devices are used.
引用
收藏
页码:381 / 387
页数:7
相关论文
共 50 条
  • [41] Kinematic Tracking of Rehabilitation Patients With Markerless Pose Estimation Fused with Wearable Inertial Sensors
    Cotton, R. James
    2020 15TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2020), 2020, : 508 - 514
  • [42] Activity recognition using wearable sensors for tracking the elderly
    Stylianos Paraschiakos
    Ricardo Cachucho
    Matthijs Moed
    Diana van Heemst
    Simon Mooijaart
    Eline P. Slagboom
    Arno Knobbe
    Marian Beekman
    User Modeling and User-Adapted Interaction, 2020, 30 : 567 - 605
  • [43] A novel method for hand pose estimation based on inertial and magnetic sensors
    Fang, Bin
    Sun, Fuchun
    PROCESSING OF 2014 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INFORMATION INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2014,
  • [44] Activity recognition using wearable sensors for tracking the elderly
    Paraschiakos, Stylianos
    Cachucho, Ricardo
    Moed, Matthijs
    van Heemst, Diana
    Mooijaart, Simon
    Slagboom, Eline P.
    Knobbe, Arno
    Beekman, Marian
    USER MODELING AND USER-ADAPTED INTERACTION, 2020, 30 (03) : 567 - 605
  • [45] A Measure System of Zero Moment Point Using Wearable Inertial Sensors
    Xianggang Zhang
    Hao Wang
    Yuliang Shi
    Changjun Fu
    Huiqin Wang
    Guoyu Wang
    China Communications, 2016, 13 (05) : 16 - 27
  • [46] Fall Monitoring for the Elderly Using Wearable Inertial Measurement Sensors on Eyeglasses
    Lin, Chih-Lung
    Chiu, Wen-Ching
    Chen, Fu-Hsing
    Ho, Yuan-Hao
    Chu, Ting-Ching
    Hsieh, Ping-Hsiao
    IEEE SENSORS LETTERS, 2020, 4 (06)
  • [47] Horse gait analysis using wearable inertial sensors and machine learning
    Rana, Manju
    Mittal, Vikas
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY, 2023,
  • [48] Segmentation and recognition of human motion sequences using wearable inertial sensors
    Guo, Ming
    Wang, Zhelong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (16) : 21201 - 21220
  • [49] Gait Variability in Spinocerebellar Ataxia Assessed Using Wearable Inertial Sensors
    Shah, Vrutangkumar V.
    Rodriguez-Labrada, Roberto
    Horak, Fay B.
    McNames, James
    Casey, Hannah
    Floyd, Kyra Hansson
    El-Gohary, Mahmoud
    Schmahmann, Jeremy D.
    Rosenthal, Liana S.
    Perlman, Susan
    Velazquez-Perez, Luis
    Gomez, Christopher M.
    MOVEMENT DISORDERS, 2021, 36 (12) : 2922 - 2931
  • [50] Estimation of the center of rotation using wearable magneto-inertial sensors
    Crabolu, M.
    Pani, D.
    Raffo, L.
    Cereatti, A.
    JOURNAL OF BIOMECHANICS, 2016, 49 (16) : 3928 - 3933