EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors

Martínez-Martín, Ester; Cruz, Edmanuel; Cazorla, Miguel; Gomez-Donoso, Francisco

doi:10.1007/s10055-019-00419-4

Cited by 18 publications

(21 citation statements)

References 25 publications

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“…Nevertheless, warning systems usually comprise passive elements that are always visible or, sometimes, dynamic lighting [ 2 ]. Advances in technology have produced a range of tools that can be used in this area to increase performance, evaluate user experience, learning and training, and control sensors and smart systems [ 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Gamification and Hazard Communication in Virtual Reality: A Qualitative Study

Cavalcanti

Valls

Contero

et al. 2021

Sensors

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An effective warning attracts attention, elicits knowledge, and enables compliance behavior. Game mechanics, which are directly linked to human desires, stand out as training, evaluation, and improvement tools. Immersive virtual reality (VR) facilitates training without risk to participants, evaluates the impact of an incorrect action/decision, and creates a smart training environment. The present study analyzes the user experience in a gamified virtual environment of risks using the HTC Vive head-mounted display. The game was developed in the Unreal game engine and consisted of a walk-through maze composed of evident dangers and different signaling variables while user action data were recorded. To demonstrate which aspects provide better interaction, experience, perception and memory, three different warning configurations (dynamic, static and smart) and two different levels of danger (low and high) were presented. To properly assess the impact of the experience, we conducted a survey about personality and knowledge before and after using the game. We proceeded with the qualitative approach by using questions in a bipolar laddering assessment that was compared with the recorded data during the game. The findings indicate that when users are engaged in VR, they tend to test the consequences of their actions rather than maintaining safety. The results also reveal that textual signal variables are not accessed when users are faced with the stress factor of time. Progress is needed in implementing new technologies for warnings and advance notifications to improve the evaluation of human behavior in virtual environments of high-risk surroundings.

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Section: Introductionmentioning

confidence: 99%

Gamification and Hazard Communication in Virtual Reality: A Qualitative Study

Cavalcanti

Valls

Contero

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Going a step further, the environment can be adapted to the user's needs, with sensors and actuators, such as cameras or domotic systems, such that more functionalities are covered and more information about the user's health status can be gathered and processed, providing this technology with intelligence. Along those lines, we can find smart homes [11], virtual assistants [12][13][14] and ambient assisted living (AAL) settings [15][16][17]. Nevertheless, this kind of technology fails to support independent life when the user has chronic or degenerative limitations in motor and/or cognitive abilities.…”

Section: Introductionmentioning

confidence: 99%

Socially Assistive Robots for Older Adults and People with Autism: An Overview

2020

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Over one billion people in the world suffer from some form of disability. Nevertheless, according to the World Health Organization, people with disabilities are particularly vulnerable to deficiencies in services, such as health care, rehabilitation, support, and assistance. In this sense, recent technological developments can mitigate these deficiencies, offering less-expensive assistive systems to meet users’ needs. This paper reviews and summarizes the research efforts toward the development of these kinds of systems, focusing on two social groups: older adults and children with autism.

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“…In the case of [43], PHAROS was proposed, an interactive robot system that recommends and monitors physical exercises at home, designed for the rehabilitation of chronic diseases. More recently, [44] proposed an augmented reality platform to engage and supervise rehabilitation sessions at home using low-cost sensors. This platform also stores a user's statistics and allows therapists to tailor the exercise programs according to their performance.…”

Section: Related Workmentioning

confidence: 99%

A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot

2021

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In this work, we introduce HaReS, a hand rehabilitation system. Our proposal integrates a series of exercises, jointly developed with a foundation for those with motor and cognitive injuries, that are aimed at improving the skills of patients and the adherence to the rehabilitation plan. Our system takes advantage of a low-cost hand-tracking device to provide a quantitative analysis of the performance of the patient. It also integrates a low-cost surface electromyography (sEMG) sensor in order to provide insight about which muscles are being activated while completing the exercises. It is also modular and can be deployed on a social robot. We tested our proposal in two different facilities for rehabilitation with high success. The therapists and patients felt more motivation while using HaReS, which improved the adherence to the rehabilitation plan. In addition, the therapists were able to provide services to more patients than when they used their traditional methodology.

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EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors

Cited by 18 publications

References 25 publications

Gamification and Hazard Communication in Virtual Reality: A Qualitative Study

Gamification and Hazard Communication in Virtual Reality: A Qualitative Study

Socially Assistive Robots for Older Adults and People with Autism: An Overview

A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot

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