Literature DB >> 28814043

Design of a wearable interface for lightweight robotic arm for people with mobility impairments.

Tommaso Lisini Baldi, Giovanni Spagnoletti, Mihai Dragusanu, Domenico Prattichizzo.   

Abstract

Many common activities of daily living like open a door or fill a glass of water, which most of us take for granted, could be an insuperable problem for people who have limited mobility or impairments. For years the unique alternative to overcame this limitation was asking for human help. Nowadays thanks to recent studies and technology developments, having an assistive devices to compensate the loss of mobility is becoming a real opportunity. Off-the-shelf assistive robotic manipulators have the capability to improve the life of people with motor impairments. Robotic lightweight arms represent one of the most spread solution, in particular some of them are designed specifically to be mounted on wheelchairs to assist users in performing manipulation tasks. On the other hand, usually their control interface relies on joystick and buttons, making the use very challenging for people affected by impaired motor abilities. In this paper, we present a novel wearable control interface for users with limb mobility impairments. We make use of muscles residual motion capabilities, captured through a Body-Machine Interface based on a combination of head tilt estimation and electromyography signals. The proposed BMI is completely wearable, wireless and does not require frequently long calibrations. Preliminary experiments showed the effectiveness of the proposed system for subjects with motor impairments, allowing them to easily control a robotic arm for activities of daily living.

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Year:  2017        PMID: 28814043     DOI: 10.1109/ICORR.2017.8009471

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  2 in total

Review 1.  Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future.

Authors:  Xiaomei Hu; Yajuan Liu; Hao Lan Zhang; Wei Wang; Yijie Li; Chao Meng; Zhengke Fu
Journal:  Comput Intell Neurosci       Date:  2022-06-08

2.  Control of a Wheelchair-Mounted 6DOF Assistive Robot With Chin and Finger Joysticks.

Authors:  Ivan Rulik; Md Samiul Haque Sunny; Javier Dario Sanjuan De Caro; Md Ishrak Islam Zarif; Brahim Brahmi; Sheikh Iqbal Ahamed; Katie Schultz; Inga Wang; Tony Leheng; Jason Peng Longxiang; Mohammad H Rahman
Journal:  Front Robot AI       Date:  2022-07-22
  2 in total

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