A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation

Rego, Paula Alexandra; Rocha, R. P.; Faria, Brígida Mónica; Reis, Luís Paulo; Moreira, Pedro Miguel

doi:10.1007/s10916-016-0656-5

Cited by 17 publications

(7 citation statements)

References 61 publications

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“…Only 41 articles met the criteria explained earlier. Conversely, 80 articles did not meet the criteria because they (i) focus on rehabilitation on body parts different to upper limbs or focus on other types of rehabilitation [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44] ; (ii) have purposes different to rehabilitation [45][46][47][48][49][50][51] (e.g., measurement of personal performance and development of musical skills); (iii) are editorial notes, reviews, and guidelines to develop serious games 1, ; (iv) are incomplete articles 74 ; (v) are up to three pages in length [75][76][77][78] ; (vi) are not written in English [79][80][81] ; and (vii) are out of the scope of this review. 82 This review includes articles with QualSyst percentages q70%.…”

Section: Resultsmentioning

confidence: 99%

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Aguilar-Lazcano

Rechy-Ramirez

et al. 2019

Games for Health Journal

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This systematic review aims to analyze the state-of-the-art regarding interaction modalities used on serious games for upper limb rehabilitation. A systematic search was performed in IEEE Xplore and Web of Science databases. PRISMA and QualSyst protocols were used to filter and assess the articles. Articles must meet the following inclusion criteria: they must be written in English; be at least four pages in length; use or develop serious games; focus on upper limb rehabilitation; and be published between 2007 and 2017. Of 121 articles initially retrieved, 33 articles met the inclusion criteria. Three interaction modalities were found: vision systems (42.4%), complementary vision systems (30.3%), and no-vision systems (27.2%). Vision systems and no-vision systems obtained a similar mean QualSyst (86%) followed by complementary vision systems (85.7%). Almost half of the studies used vision systems as the interaction modality (42.4%) and used the Kinect sensor to collect the body movements (48.48%). The shoulder was the most treated body part in the studies (19%). A key limitation of vision systems and complementary vision systems is that their device performances might be affected by lighting conditions. A main limitation of the no-vision systems is that the range-of-motion in angles of the body movement might not be measured accurately. Due to a limited number of studies, fruitful areas for further research could be the following: serious games focused on finger rehabilitation and trauma injuries, game difficulty adaptation based on user's muscle strength and posture, and multisensor data fusion on interaction modalities.

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Section: Resultsmentioning

confidence: 99%

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Aguilar-Lazcano

Rechy-Ramirez

et al. 2019

Games for Health Journal

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“…In cognitive rehabilitation, SGs can significantly improve fast visual processing and spatial working memory in patients with amnestic mild cognitive impairment (46). The research team of Rui et al reviewed the application of SGs in cognitive rehabilitation (47), and then developed a SG web platform for cognitive rehabilitation (48). As a matter of fact, SGs are more used in physical rehabilitation compared with cognitive rehabilitation.…”

Section: Applying In Rehabilitationmentioning

confidence: 99%

Application of Serious Games in Health Care: Scoping Review and Bibliometric Analysis

Wang

Liu

et al. 2022

Front. Public Health

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BackgroundSerious games (SGs) as one kind of intervention that can improve the level of knowledge and change behavior to affect health outcomes has been increasingly applied in health care.ObjectiveAnalyze hotspots and trends of the application of SGs in health care and provide reference and direction for further research in the future.MethodsThe Web of Science (WoS) Core Collection database was used for extracting the literature on SGs in health care for the period from the database established to 11 October, 2021. Scoping review and bibliometric analysis were used to deeply analyze and visualize countries, categories of studies, annual study output, cited authors, cited journals, cited articles, and keywords of healthcare field.ResultsA total of 1,322 articles were retrieved, then every articles' title and abstract were read one by one, and 795 articles were included after screening with an exponential increase in publication volume. The United States of America made the greatest contribution to global publications regarding SGs in health care. From the total, 20.8% of articles fall under the category of health care sciences services. The target groups were mainly concentrated in children (18.0%), youth (13.8%), the elderly (10.9%), adolescents (9.1%), and adults (3.4%). Baranowski T (n = 103 citations) is the most influential author, followed by Kato PM (n = 73 citations) and Desmet A (n = 58 citations). The top three cited journals were “Plos One” (n = 268 citations), “Games for Health Journal” (n = 209 citations), and “Journal of Medical Internet Research” (n = 197 citations), and the top three cited articles were “A meta-analysis of serious digital games for healthy lifestyle promotion,” “A Systematic Review of Serious Games in Training Health Care Professionals,” and “Video game training enhances cognitive control in older adults.” More and more studies focus on specific age groups, such as children, adolescents, and the elderly. The research hotspots and trends included “rehabilitation,” “medical education,” and “design.”ConclusionsThe application of SGs in health care remains important areas for future research. “Rehabilitation,” “medical education,” and “design” reflected the latest research hotpots and future trends.

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“…The authors of [7,17] presented reviews on serious games for motivating body exercises in case of stroke and physical rehabilitation. Another approach for cognitive rehabilitation using a serious game platform was proposed in [18]. More specific serious games for physical rehabilitation of patients with chronic musculoskeletal back and neck pain were proposed in [19], by using the motion capture (MoCap) system and virtual reality.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Rehabilitation Bots in Serious Games

Afyouni

Murad

Einea³

2020

Sensors

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In recent years, we have witnessed a growing adoption of serious games in telerehabilitation by taking advantage of advanced multimedia technologies such as motion capture and virtual reality devices. Current serious game solutions for telerehabilitation suffer form lack of personalization and adaptiveness to patients’ needs and performance. This paper introduces “RehaBot”, a framework for adaptive generation of personalized serious games in the context of remote rehabilitation, using 3D motion tracking and virtual reality environments. A personalized and versatile gaming platform with embedded virtual assistants, called “Rehab bots”, is created. Utilizing these rehab bots, all workout session scenes will include a guide with various sets of motions to direct patients towards performing the prescribed exercises correctly. Furthermore, the rehab bots employ a robust technique to adjust the workout difficulty level in real-time to match the patients’ performance. This technique correlates and matches the patterns of the precalculated motions with patients’ motions to produce a highly engaging gamified workout experience. Moreover, multimodal insights are passed to the users pointing out the joints that did not perform as anticipated along with suggestions to improve the current performance. A clinical study was conducted on patients dealing with chronic neck pain to prove the usability and effectiveness of our adjunctive online physiotherapy solution. Ten participants used the serious gaming platform, while four participants performed the traditional procedure with an active program for neck pain relief, for two weeks (10 min, 10 sessions/2 weeks). Feasibility and user experience measures were collected, and the results of experiments show that patients found our game-based adaptive solution engaging and effective, and most of them could achieve high accuracy in performing the personalized prescribed therapies.

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A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation

Cited by 17 publications

References 61 publications

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Application of Serious Games in Health Care: Scoping Review and Bibliometric Analysis

Adaptive Rehabilitation Bots in Serious Games

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