Gamifying Motor Rehabilitation Therapies: Challenges and Opportunities of Immersive Technologies

Ferreira, Bruno; Menezes, Paulo

doi:10.3390/info11020088

Cited by 27 publications

(17 citation statements)

References 46 publications

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“…Training should include appropriate feedback, which can help improve movement (Winstein et al, 1999). The proposed system provides extrinsic feedback, including visual feedback and audio feedback, which has been shown to make users more enthusiastic in training (Burke et al, 2009), (Ferreira and Menezes, 2020), (Hocine et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke

et al. 2022

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Stroke often leads to hand motor dysfunction, and effective rehabilitation requires keeping patients engaged and motivated. Among the existing automated rehabilitation approaches, data glove-based systems are not easy to wear for patients due to spasticity, and single sensor-based approaches generally provided prohibitively limited information. We thus propose a wearable multimodal serious games approach for hand movement training after stroke. A force myography (FMG), electromyography (EMG), and inertial measurement unit (IMU)-based multi-sensor fusion model was proposed for hand movement classification, which was worn on the user’s affected arm. Two movement recognition-based serious games were developed for hand movement and cognition training. Ten stroke patients with mild to moderate motor impairments (Brunnstrom Stage for Hand II-VI) performed experiments while playing interactive serious games requiring 12 activities-of-daily-living (ADLs) hand movements taken from the Fugl Meyer Assessment. Feasibility was evaluated by movement classification accuracy and qualitative patient questionnaires. The offline classification accuracy using combined FMG-EMG-IMU was 81.0% for the 12 movements, which was significantly higher than any single sensing modality; only EMG, only FMG, and only IMU were 69.6, 63.2, and 47.8%, respectively. Patients reported that they were more enthusiastic about hand movement training while playing the serious games as compared to conventional methods and strongly agreed that they subjectively felt that the proposed training could be beneficial for improving upper limb motor function. These results showed that multimodal-sensor fusion improved hand gesture classification accuracy for stroke patients and demonstrated the potential of this proposed approach to be used as upper limb movement training after stroke.

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Section: Discussionmentioning

confidence: 99%

Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke

et al. 2022

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“…It is therefore important to find ways to help people to engage in this type of practice. To this end, the most frequently referred approach is the use of games to increase the interest, reduce boredom, and even forget limitations [10].…”

Section: Exercise Routines: Design Guidance and Motivation Aspectsmentioning

confidence: 99%

Promotion of active ageing through interactive artificial agents in a smart environment

Menezes

Rocha

2021

SN Appl. Sci.

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Societies in the most developed countries have witnessed a significant ageing of the population in recent decades, which increases the demand for healthcare services and caregivers. The development of technologies to help the elderly, so that they can remain active and independent for a longer time, helps to mitigate the sustainability problem posed in care services. This article follows this new trend, proposing a multi-agent system composed of a smart camera network, centralised planning agent, a virtual coach, and robotic exercise buddy, designed to promote regular physical activity habits among the elderly. The proposed system not only persuades the users to perform exercise routines, but also guides and accompanies them during exercises in order to provide effective training and engagement to the user. The different agents are combined in the system to exploit their complementary features in the quest for an effective and engaging training system. Three variants of the system, involving either a partial set of those agents or the full proposed system, were evaluated and compared through a pilot study conducted with 12 elderly users. The results demonstrate that all variants are able to guide the user in an exercise routine, but the most complete system that includes a robotic exercise buddy was the best scored by the participants. Article Highlights Proposal of a multi-agent system to help elderly adopting regular physical activity habits. A virtual coach and a robotic exercise buddy provide both guidance and companionship during the exercise. A pilot study conducted with 12 elderly users demonstrated an effective and engaging training system.

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“…At home, people might prefer to watch television, for example. Additionally, some OT services can be overcrowded, making the immediate necessary therapy postponed, compromising a possible full recovery [19,20].…”

Section: Principles Supporting the Work Ideamentioning

confidence: 99%

Immersive Environment for Occupational Therapy: Pilot Study

et al. 2020

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There has been increasing interest in the application of virtual reality (VR) to occupational therapy and rehabilitation fields. This work presents a VR-based city adventure framework designed for occupational therapy. Its concept is based on taking the user to travel around a virtual city, where the motion is powered by the execution of some type of physical exercise, namely cycling in the current example. This framework is extensible and may integrate different goals focused on improving/maintaining motor and cognitive skills necessary for daily activities, mainly through upper and lower limb exercises and mental challenges. This led to the development of an immersive system, which was tested with an elderly sample (15 participants) in a day center and at a retirement home. Usability, satisfaction, performance and side effects were evaluated to understand future applicability and work directions.

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Gamifying Motor Rehabilitation Therapies: Challenges and Opportunities of Immersive Technologies

Cited by 27 publications

References 46 publications

Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke

Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke

Promotion of active ageing through interactive artificial agents in a smart environment

Immersive Environment for Occupational Therapy: Pilot Study

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