Home » Active Exoskeleton Hand Exerciser Using Multisensory Feed Back

Active Exoskeleton Hand Exerciser Using Multisensory Feed Back

Arpan Bhattacharyya

Dept. of CSE, Government College of Engineering and Textile Technology, Berhampore, India
e-mail: arpanbhattacharyya60@gmail.com

Arindam Dey Sarkar

Dept. of ECE, National Institute of Technology, Arunachal Pradesh, India
e-mail: deysarkar1991@gmail.com

Sahadev Roy

Dept. of ECE, National Institute of Technology, Arunachal Pradesh, India
e-mail: sdr.ece@nitap.in


Nowadays the leading cause of disability is the stroke. The main reasons of cerebral vascular accident counted as Ischemia or Haemorrhage in the brain which ultimately results in stroke. It is widely agreed that natural recovery, as well as functional recovery of the body, takes place in the first month of the incident of the stroke victim. For a better improvement, some organization for neuroscience has the need to be put in order. Neural pathways which are damaged earlier can be reformed with neurons present inactivity and also can be engaged. The exoskeleton hand exerciser may be used for guidance or training device for patients following stroke to vigorously train their affected hand functions in normal condition. For different kind of disabilities, there are different actuation and control techniques. Exoskeleton hand exerciser is a prosthetics device for paralyzed patients who have lost their control over hand. It is a very useful thing by which they can easily do their works. Not only for the paralyzed people it is now very useful for military or forces. It can easily lift the heavy weighs of different weapons. This paper also explores the art of the exoskeleton exerciser for the palm.


Exercisers for paralyzed patient; Exoskeleton hand exerciser; Rehabilitation exerciser; Upper arm rehabilitation exoskeletons.

pdf-1Full Paper Download

Cited as

Arpan Bhattacharyya, Arindam Dey Sarkar and Sahadev Roy, “Active Exoskeleton Hand Exerciser Using Multisensory Feed Back,” International Journal of Advanced Engineering and Management, vol. 2, no. 2, pp. 33-36,  2017. https://ijoaem.org/00202-2

DOI: https://doi.org/10.24999/IJOAEM/02020012


  1. H. Kazerooni, “Exoskeletons for Human Performance Augmentation,” Springer Handbook of Robotics, pp. 773-793, 2008. https://doi.org/10.1007/978-3-540-30301-5_34.
  2. A. Wege and G. Hommel, “Development and Control of a Hand Exoskeleton for Rehabilitation of Hand Injuries,” IEEE/RSJ International Conference on Intelligent Robots and Systems.(IROS 2005), pp. 3046-3051, 2005. https://doi.org/10.1109/iros.2005.1545506
  3. M. Fatahzadeh and M. Glick, “Stroke: Epidemiology, Classification, Risk Factors, Complications, Diagnosis, Prevention, and Medical and Dental Management.,” Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, vol. 102, no. 2, pp. 180-191, 2006. https://doi.org/10.1016/j.tripleo.2005.07.031
  4. N. Van Alfen and B. G. Van Engelen, “The Clinical Spectrum of Neuralgic Amyotrophy in 246 Cases,” Brain, vol. 129, no. 2, pp. 438-450, 2006. https://doi.org/10.1093/brain/awh722
  5. T. K. Tatemichi, M. Paik, E. Bagiella, D. W. Desmond, Y. Stern, M. Sano, W. A. Hauser and R. Mayeux, “Risk of Dementia After Stroke in A Hospitalized Cohort Results of A Longitudinal Study,” Neurology, vol. 44, no. 10, pp. 1885-1885, 1994. https://doi.org/10.1212/wnl.44.10.1885
  6. S. Roy, M. S. Inamdar and S. Bhaumik, “Review of Exoskeleton Hand Exercisers for Paralyzed Patient,” 2nd Research Summit on Computer, Electronics and Electrical Engineering , pp. 35-44, 2016.
  7. I. Sarakoglou, D. G. Caldwell, N. G. Tsagarakis and S. Kousidou, “Exoskeleton-Based Exercisers for the Disabilities of the Upper Arm and Hand,” Rehabilitation Robotics, pp. 499-522, 2007. https://doi.org/10.5772/5177
  8. S. Lee, S. Park, M. Kim and C. W. Lee, “Design of a Force Reflecting Master Arm and Master Hand Using Pneumatic Actuators,” IEEE International Conference on Robotics and Automation, vol. 3, pp. 2574-2579, 1998. https://doi.org/10.1109/robot.1998.680729
  9. C. N. Schabowsky, S. B. Godfrey, R. J. Holley and P. S. and Lum, “Development and Pilot Testing of HEXORR: Hand EXOskeleton Rehabilitation Robot,” Journal of Neuro Engineering and Rehabilitation, vol. 7, no. 1, p. 36, 2010. https://doi.org/10.1186/1743-0003-7-36
  10. J. Iqbal, N. G. Tsagarakis, A. E. Fiorilla and D. G. Caldwell, “A Portable Rehabilitation Device for the Hand,” Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pp. 3694-3697, 2010. https://doi.org/10.1109/iembs.2010.5627448
  11. J. Ueda, Y. Ishida, M. Kondo and T. Ogasawara, “Development of the NAIST-Hand with Vision-Based Tactile Fingertip Sensor,” Proceedings of the IEEE International Conference in Robotics and Automation, pp. 2332-2337, 2005. https://doi.org/10.1109/robot.2005.1570461
  12. R. Srivastava, N. Kumar, B. Anjali and S. N. Singh, “Grid Interactive Solar Powered Automated Bottling Plant Using Microcontroller,” International Journal of Advanced Engineering and Management, vol. 2, no. 1, pp. 9-14, 2017. https://ijoaem.org/00201-7
  13. N. S. K. Ho, K. Y. Tong, X. L. Hu, K. L. Fung, X. J. Wei, W. Rong and E. A. Susanto, “An EMG-Driven Exoskeleton Hand Robotic Training Device on Chronic Stroke Subjects: Task Training System for Stroke Rehabilitation,” IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 1-5, 2011.


%d bloggers like this: