Literature DB >> 34356390

A Proposal of a Motion Measurement System to Support Visually Impaired People in Rehabilitation Using Low-Cost Inertial Sensors.

Karla Miriam Reyes Leiva1,2, Milagros Jaén-Vargas1, Miguel Ángel Cuba1, Sergio Sánchez Lara1, José Javier Serrano Olmedo1,3.   

Abstract

The rehabilitation of a visually impaired person (VIP) is a systematic process where the person is provided with tools that allow them to deal with the impairment to achieve personal autonomy and independence, such as training for the use of the long cane as a tool for orientation and mobility (O&M). This process must be trained personally by specialists, leading to a limitation of human, technological and structural resources in some regions, especially those with economical narrow circumstances. A system to obtain information about the motion of the long cane and the leg using low-cost inertial sensors was developed to provide an overview of quantitative parameters such as sweeping coverage and gait analysis, that are currently visually analyzed during rehabilitation. The system was tested with 10 blindfolded volunteers in laboratory conditions following constant contact, two points touch, and three points touch travel techniques. The results indicate that the quantification system is reliable for measuring grip rotation, safety zone, sweeping amplitude and hand position using orientation angles with an accuracy of around 97.62%. However, a new method or an improvement of hardware must be developed to improve gait parameters' measurements, since the step length measurement presented a mean accuracy of 94.62%. The system requires further development to be used as an aid in the rehabilitation process of the VIP. Now, it is a simple and low-cost technological aid that has the potential to improve the current practice of O&M.

Entities:  

Keywords:  absolute orientation; inertial sensors; orientation and mobility; visually impaired rehabilitation

Year:  2021        PMID: 34356390     DOI: 10.3390/e23070848

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  1 in total

1.  Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications.

Authors:  Felipe Ortega; Emilio L Cano
Journal:  Entropy (Basel)       Date:  2022-06-21       Impact factor: 2.738

  1 in total

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