Instrumental Validity of the Motion Detection Accuracy of a Smartphone-Based Training Game

Guggenberger, Bernhard; Jocham, Andreas J.; Jocham, Birgit; Nischelwitzer, Alexander; Ritschl, Helmut

doi:10.3390/ijerph18168410

Cited by 5 publications

(5 citation statements)

References 43 publications

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“…According to Table 2 , 17 (85%) systems developed for lower limb rehabilitation give feedback during or after exercise therapy. This feedback was either visual or a combination of visual and auditory feedback [ 12 , 31 – 35 , 38 – 41 , 45 – 49 , 51 , 52 ]. Feedback in rehabilitation systems can help the patient better adapt to the treatment protocol [ 3 ].…”

Section: Resultsmentioning

confidence: 99%

“…Guggenberger et al [ 31 ] used the built-in inertia measurement unit and the integrated front camera of the smartphone and head-mounted displays (HMD) to track the movements and produce the corresponding AR images. Furthermore, in 2021, Zhao et al [ 32 ] used a combination of Kinect and IMU technologies for real-time rehabilitation and motion-tracking exercises.…”

Section: Resultsmentioning

confidence: 99%

“…Maurer et al [ 52 ] ✘ ✘ ✓ ✘ ✘ ✘ ✘ ✓ ✘ ✘ ✘ ✘ - ✘ ✘ ✘ ✘ ✘ StaRI standard Methods: evaluation Results Discussion General Sample size Analysis Sub-group analyses Characteristics Outcomes Process outcomes Economic evaluation Sub-group analyses Fidelity/ adaptation Contextual changes Harms Structured discussion Implications Statements S I S I S I 1. Guggenberger et al [ 31 ] ✓ ✓ ✘ ✓ ✓ ✓ ✓ ✘ ✘ - ✓ ✘ ✓ ✓ ✓ ✓ ✓ …”

Section: Resultsmentioning

confidence: 99%

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Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Kiani

Rezaei

Abasi

et al. 2023

BMC Musculoskelet Disord

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Introduction Musculoskeletal disorders are one of the most common causes of physical disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and patients are not motivated to follow rehabilitation protocols. Therefore, new systems must be used to increase patient motivation. Virtual reality (VR) and augmented reality (AR) technologies can be used in this regard. In developing such systems, various technologies and methods of movement recognition are used; therefore, this study aims to summarize the technical aspects of using VR/AR in rehabilitation and evaluate and discuss efficient methods of investigating studies using the Statement of Standards for Reporting Implementation Studies (StaRI). Methods Search in four scientific databases was done systematically based on PRISMA through online search engines from inception to June 2021. These databases include Medline (PubMed), Scopus, IEEE, and Web of Science. An updated search was also conducted on 17 December 2021. The research used keywords and MeSH terms associated with VR/AR, musculoskeletal disorder, and rehabilitation. Selected articles were evaluated qualitatively using the Standards for Reporting Implementation Studies (StaRI) statement. Results A total of 2343 articles were found, and 20 studies were included. We found that 11 (55%) studies used Kinect technology as input tools, and 15 (75%) studies have described the techniques used to analyze human movements, such as dynamic time warping (DTW) and support vector machines (SVM). In 10 (50%) studies, the Unity game engine was used for visualization. In 8 studies (40%), usability was assessed, and high usability was reported. Similarly, the results of the review of studies according to the StaRI checklist showed poor reporting in the title and discussion of the studies. Conclusions We found that academic studies did not describe the technical aspects of rehabilitation systems. Therefore, a good description of the technical aspects of the system in such studies should be considered to provide repeatability and generalizability of these systems for investigations by other researchers.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Kiani

Rezaei

Abasi

et al. 2023

BMC Musculoskelet Disord

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“…Tailored AR software provides instructions to the participants and measures spatial and temporal gait parameters. Gait parameters are measured by detecting the walked distance and counting the time using Google ARCore [ 51 ]. The unity asset called Android StepCounter enables access to smartphone sensors and software algorithms to detect steps.…”

Section: Methodsmentioning

confidence: 99%

Mixed Reality Prototype of Multimodal Screening for Early Detection of Cognitive Impairments in Older Adults: Protocol Development and Usability Study

Christova¹,

Strohmaier²,

Fuchs-Neuhold³

et al. 2022

JMIR Res Protoc

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Background The early diagnosis of cognitive impairments is an important step in the adequate management of dementia. The project “Smart Cognition & Behaviour Screening powered by Augmented Reality” (SCOBES-AR) aims to develop a multimodal screening tool (MST) for the early detection of cognitive impairments using augmented and virtual reality. The first project phase selected validated assessments for combination with the MST and tested it in 300 healthy older adults. Objective This study established a protocol for the implementation and usability of a mixed reality (MR)–enhanced multidisciplinary screening tool for the early detection of cognitive impairments in older adults. The developed MST will be partially enhanced by MR, which is a combination of augmented reality (AR) and virtual reality (VR). This MR-enhanced prototype of the screening tool (MR-MST) will be tested and compared to the previously developed MST. The usability of the prototype will also be examined. Methods This single-center observational crossover design study screens 100 healthy participants (aged 60-75 years) for cognitive decline using a specially developed MST (assessment of cognitive functions, olfactory sensitivity, nutritional preferences, gait parameters, reaction times, and activities of daily living) and an MR-enhanced MST in which the assessments of cognitive functions, reaction time, activities of daily living, and gait will be performed using tailor-made software and AR and VR hardware. The results of the MR-enhanced MST will be compared to those without MR. The usability of the developed MR-enhanced MST will be tested on 10 investigators and 10 test participants using observed summative evaluation and the codiscovery method, and on 2 usability experts using the codiscovery and cognitive walkthrough methods. Results This study was funded by the Austrian Research Promotion Agency (grant 866873) and received approval from the ethics committee of the Medical University of Graz. The MR-MST and the experimental protocol for this study were developed. All participants gave written informed consent. As of July 15, 2022, a total of 70 participants have been screened. Data analysis and dissemination are scheduled for completion by September 2023. Conclusions The development and testing of the MR-MST is an important step toward the establishment of the best practice procedure for the implementation of AR and VR in the screening of cognitive declines in older adults. It will help improve our knowledge of the usability and applicability of the developed prototype and promote further advancement in AR and VR technologies to be used in therapeutic settings. International Registered Report Identifier (IRRID) DERR1-10.2196/39513

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“…There is no strict age restriction for the users we target, resulting in a requirement for the application to be elaborate, engaging and effective for young adults and elderly users alike. In terms of physical and mental condition, our focus group does not include patients with chronic mental impairments, such as dementia (Maskeliūnas et al, 2019), or athletes on a training program (Guggenberger et al, 2021); we mostly focus on rehabilitation after injuries and accidents, with low to medium impact on the patients' mobility, likely to be improved through a non-surgical intervention, patients who suffered mild strokes, with limited, yet noticeable impact on their mobility, similar to Noveletto et al (2018), and people over 50, who need to exercise regularly to maintain their general physical and mental condition. An important requirement for our design was to make sure that physicians or general practitioners would be able to prescribe specific activities for each patient, accompanied with measurable objectives and progress indicators; our system should be able to suggest parts of those personalized plans, which would then be approved by the physician.…”

Section: Introductionmentioning

confidence: 99%

Gameful Design of an Application for Patients in Rehabilitation

Menychtas¹,

Galliakis²,

Pardos³

et al. 2022

Front. Comput. Sci.

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The design process of any interactive application is an important part of its lifecycle, since it largely defines its structure, means of interaction with the users and its actual content. In the case of applications related to medical uses and self-help, it is even more important, given the aims of the application, the diversity of target users and the urgent need for increased retention. In this article, we present a gameful design process for a mobile application targeted toward patients in rehabilitation, implementing concepts related to increasing user rapport and motivation through gamification, and means to offer guidance and personalized services to improve user experience. Both gamification and personalization build on narrative concepts, by putting patients in the place of a “hero”, offering them the opportunity to overcome “challenges” and receive a clear view of their progress (a.k.a. a “hero's journey”), both in terms of physical and mental condition. Finally, we discuss measurable indicators used to evaluate the application in terms of the progress that patients showed, their motivation and interest, and degree of adherence to the exercise plans.

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Instrumental Validity of the Motion Detection Accuracy of a Smartphone-Based Training Game

Cited by 5 publications

References 43 publications

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Mixed Reality Prototype of Multimodal Screening for Early Detection of Cognitive Impairments in Older Adults: Protocol Development and Usability Study

Gameful Design of an Application for Patients in Rehabilitation

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