EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors
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ORIGINAL ARTICLE
EVA: EVAluating at‑home rehabilitation exercises using augmented reality and low‑cost sensors Felix Escalona1 · Ester Martinez‑Martin1 · Edmanuel Cruz1 · Miguel Cazorla1 · Francisco Gomez‑Donoso1 Received: 29 January 2019 / Accepted: 6 December 2019 © Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract Over one billion people in the world live with some form of disability. This is incessantly increasing due to aging population and chronic diseases. Among the emerging social needs, rehabilitation services are the most required. However, they are scarce and expensive what considerably limits access to them. In this paper, we propose EVA, an augmented reality platform to engage and supervise rehabilitation sessions at home using low-cost sensors. It also stores the user’s statistics and allows therapists to tailor the exercise programs according to their performance. This system has been evaluated in both qualitative and quantitative ways obtaining very promising results. Keywords Rehabilitation exercises · Deep learning · Augmented reality · Human–computer interaction · 3D visualization · Low-cost sensors
1 Introduction According to the World Health Organization (WHO), about 15% of the world’s population suffers some form of disability. In addition, this rate is continuously increasing as a result of the society aging and the growth in the prevalence of chronic diseases such as cancer or mental health disorders. This fact has led to a social concern about their health care, especially those people with significant difficulties in functioning. In this regard, one of the most noteworthy shortcomings is the rehabilitation services since they play a main role in the person’s autonomy reinforcement, the decrease in their vulnerability and the improvement in their physical condition. Furthermore, a proper recovery prevents an early retirement from work, a considerable decrease in accumulated wealth and/or a reduction in social functions. However, the deficiencies in rehabilitation services, their cost and their long duration demand the development of technology supporting this process at home. In this work, we propose an augmented reality system to perform and evaluate rehabilitation exercises at home. This * Francisco Gomez‑Donoso [email protected] 1
University Institute for Computer Research, Universidad de Alicante, Alicante, Spain
system is aimed at two kind of people: patients who require rehabilitation at home after an injury and the elderly people. Therefore, our purpose is to help them to recover from their affections and, consequently, to improve their quality of life. Our proposal consists of spawning a personal trainer on the patient’s home by taking advantage of the augmented reality methods. The user is able to watch the personal trainer and carry out the exercises by imitating him in real time, just like if they were in an actual gym. Upon the end of an exercise, the system automatically grades the patient’s performance taking into account the similarity between the
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