Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition

Wearable sensing represents an effective manner to correctly recognize hand functional grasps. The need of wearability is strictly related to the minimization of the number of sensors, in order to avoid cumbersome and hence obtrusive systems. In this paper we present a wearable glove, which is able to provide accurate measurements from three joint angles. These measurements are then completed to reconstruct the whole hand posture, by exploiting a priori synergistic information on how human commonly shape their hands in grasping tasks. Results, although preliminary, show the effectiveness of the here described devices and methods and encourage to further investigate this kind of approach.

[1]  D. Rossi,et al.  Piezoresistive Goniometer Network for Sensing Gloves , 2014 .

[2]  D. Rossi,et al.  New generation of wearable goniometers for motion capture systems , 2014, Journal of NeuroEngineering and Rehabilitation.

[3]  Enzo Pasquale Scilingo,et al.  Unobtrusive Physiological and Gesture Wearable Acquisition System: A Preliminary Study on Behavioral and Emotional Correlations , 2012 .

[4]  Alessandro Tognetti,et al.  Daily-life monitoring of stroke survivors motor performance: The INTERACTION sensing system , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Matteo Bianchi,et al.  On the use of postural synergies to improve human hand pose reconstruction , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[6]  Alessandro Tognetti,et al.  Exploiting Wearable Goniometer Technology for Motion Sensing Gloves , 2014, IEEE Journal of Biomedical and Health Informatics.

[7]  N. Taccini,et al.  Wearable monitoring system for chronic cardio-respiratory diseases , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Matteo Bianchi,et al.  Synergy-based optimal design of hand pose sensing , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[10]  Gabriel Baud-Bovy,et al.  Neural bases of hand synergies , 2013, Front. Comput. Neurosci..

[11]  Matteo Bianchi,et al.  Synergy-based hand pose sensing: Optimal glove design , 2012, Int. J. Robotics Res..

[12]  Graham Lister The hand: Diagnosis and surgical indications , 1977 .

[13]  M. Pacelli,et al.  Textile Piezoresistive Sensors for Biomechanical Variables Monitoring , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Rita Paradiso,et al.  Interaction: Training and monitoring of daily-life physical interaction with the environment after stroke , 2013 .

[15]  Danilo De Rossi,et al.  Wearable technology for biomechanics: e-textile or micromechanical sensors? [Conversations in BME] , 2010, IEEE Engineering in Medicine and Biology Magazine.

[16]  Matteo Bianchi,et al.  Synergy-based hand pose sensing: Reconstruction enhancement , 2012, Int. J. Robotics Res..