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WAY - Wearable interfaces for hand function recovery

The skilful motor and sensory functions of our hands cannot be given for granted, as traumatic amputations or neurological injuries may severely compromise them. For example in the European community every year there are ~2,000 new hand amputations and about 7,500 new spinal cord injuries – of which a significant percentage affect hand function. For this reason functional substitution as well as recovery of the sensorimotor capacities of the human hand represents one of the major goals in applied neuroscience and bioengineering, faced worldwide by scientists and engineers.

Among these efforts, WAY, was a collaborative research project coordinated by Dr. Cipriani at the Scuola Sant’Anna and funded by the European Commission under the 7th Framework Programme for research and technological development (FP7-ICT-288551; October 2011 - May 2015) with 2.25 M€. WAY proposed wearable (non-invasive) human-machine interfaces and robotic hand assistive devices, like robotic hand prostheses or exoskeletons, in order to improve the quality of life of individuals with amputation or neurological injuries. Thus WAY faced two clinical scenarios: the first one focusing on upper limb amputees fitted with a dexterous hand prosthesis, the second one targeting individuals with limited hand function and sensibility, due to SCI, whom motor and sensory functions could be recovered by means of a wearable robotic exoskeleton. 

Besides the AHA and the Neuro Robotics Area (in particular the Wearable Robotics Lab), WAY Consortium was composed by six partners from six countries in Europe: Umea UniversityTubingen UniversityScuola Universitaria Professionale della Svizzera Italiana IDSIAInstitut GuttmannOssur. The outcomes of WAY are nicely presented in the video at the bottom of this page.

 

Funder:  European Commission
Grant No.:  288551
Period:  2011-2015 (44 months)
Funding (to AHA):  600 k€
Funding (total):  2.25 M€

 

Scientific Publications

Journal papers

 

Conference papers

  • H. Alangari, G. Kanitz, S. Tarantino, J. Rigosa, C. Cipriani, “Feature and Channel Selection using Correlation Based Method for Hand Posture Classification in Multiple Arm Positions,” International Conf. on NeuroRehabilitation, ICNR, Aalborg, Denmark, Jun. 24-26, 2014.
  • F. Clemente and C. Cipriani, “A novel device for multi-modal sensory feedback in hand prosthetics: design and preliminary prototype,” In Proc. of IEEE Haptics Symposium, Houston, TX, Feb. 23-26, 2014.