Development of a series wrapping cam mechanism for energy transfer in wearable arm support applications

  • Jeremiah S. Schroeder
  • , Joel C. Perry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

An estimated 17 million individuals suffer a stroke each year with over 5 million resulting in permanent disability. For many of these, the provision of gravity support to the impaired upper limb can provide significant and immediate improvement in arm mobility. This added mobility has the potential to improve arm function and user independence overall, but, so far, wearable arm supports have found only limited uptake by end-users. The reasons are unclear, but it is hypothesized that device uptake is strongly affected by aspects of arm support implementation such as added weight and volume and the effectiveness of the support provided. In the interest of reducing the size and visibility of wearable arm supports, cable driven actuation was investigated, and a device called the series wrapping cam was developed. This device uses two wrapping cams to stretch a spring as the user's arm elevation decreases. It optimally uses the range of motion of a custom latex spring in a compact mechanism. A one degree-of-freedom proof-of-concept prototype of the series wrapping cam was manufactured and tested. The torque supplied by the prototype correctly responds to shoulder elevation to balance the weight of the extended arm at any level of elevation. However, the support is unaffected by the degree of elbow flexion-extension. Shoulder joint torque is a function of both shoulder elevation and elbow flexion, suggesting further benefits could be achieved through a bi-articular design.

Original languageEnglish
Title of host publication2017 International Conference on Rehabilitation Robotics, ICORR 2017
EditorsArash Ajoudani, Panagiotis Artemiadis, Philipp Beckerle, Giorgio Grioli, Olivier Lambercy, Katja Mombaur, Domen Novak, Georg Rauter, Carlos Rodriguez Guerrero, Gionata Salvietti, Farshid Amirabdollahian, Sivakumar Balasubramanian, Claudio Castellini, Giovanni Di Pino, Zhao Guo, Charmayne Hughes, Fumiya Iida, Tommaso Lenzi, Emanuele Ruffaldi, Fabrizio Sergi, Gim Song Soh, Marco Caimmi, Leonardo Cappello, Raffaella Carloni, Tom Carlson, Maura Casadio, Martina Coscia, Dalia De Santis, Arturo Forner-Cordero, Matthew Howard, Davide Piovesan, Adriano Siqueira, Frank Sup, Masia Lorenzo, Manuel Giuseppe Catalano, Hyunglae Lee, Carlo Menon, Stanisa Raspopovic, Mo Rastgaar, Renaud Ronsse, Edwin van Asseldonk, Bram Vanderborght, Madhusudhan Venkadesan, Matteo Bianchi, David Braun, Sasha Blue Godfrey, Fulvio Mastrogiovanni, Andrew McDaid, Stefano Rossi, Jacopo Zenzeri, Domenico Formica, Nikolaos Karavas, Laura Marchal-Crespo, Kyle B. Reed, Nevio Luigi Tagliamonte, Etienne Burdet, Angelo Basteris, Domenico Campolo, Ashish Deshpande, Venketesh Dubey, Asif Hussain, Vittorio Sanguineti, Ramazan Unal, Glauco Augusto de Paula Caurin, Yasuharu Koike, Stefano Mazzoleni, Hyung-Soon Park, C. David Remy, Ludovic Saint-Bauzel, Nikos Tsagarakis, Jan Veneman, Wenlong Zhang
PublisherIEEE Computer Society
Pages585-590
Number of pages6
ISBN (Electronic)9781538622964
DOIs
Publication statusPublished - 11 Aug 2017
Externally publishedYes
Event2017 International Conference on Rehabilitation Robotics, ICORR 2017 - London, United Kingdom
Duration: 17 Jul 201720 Jul 2017

Publication series

NameIEEE International Conference on Rehabilitation Robotics
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference2017 International Conference on Rehabilitation Robotics, ICORR 2017
Country/TerritoryUnited Kingdom
CityLondon
Period17/07/1720/07/17

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