Vibrotactile feedback in virtual motor learning: A systematic review

Islam, Md Shafiqul; Lim, Sol

doi:10.1016/j.apergo.2022.103694

Cited by 32 publications

(17 citation statements)

References 105 publications

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“…Technological advancements and the reduced cost of markerless motion capture systems [e.g., Microsoft Kinect; ( 26 )], computer vision techniques [e.g., Openpose; ( 90 )], and wearable sensing technologies ( 91 ) have created opportunities for improvement in assessing individual performance and providing real-time feedback for effective remote training using these learning modalities. Exercise customization and adaptation through adequate assessment and feedback are especially important in accommodating users with different physical capabilities [e.g., experience, health condition, strength; ( 92 )] and increasing levels of motivation and satisfaction, which promotes long-term adherence ( 93 ).…”

Section: Discussionmentioning

confidence: 99%

Effects of vibrotactile feedback on yoga practice

Islam

Lee²,

Harden³

et al. 2022

Front. Sports Act. Living

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Participating in physical exercise using remote platforms is challenging for people with vision impairment due to their lack of vision. Thus, there is a need to provide nonvisual feedback to this population to improve the performance and safety of remote exercise. In this study, the effects of different nonvisual types of feedback (verbal, vibrotactile, and combined verbal and vibrotactile) for movement correction were tested with 22 participants with normal vision to investigate the feasibility of the feedback system and pilot tested with four participants with impaired vision. The study with normal-vision participants found that nonvisual feedback successfully corrected an additional 11.2% of movements compared to the no-feedback condition. Vibrotactile feedback was the most time-efficient among other types of feedback in correcting poses. Participants with normal vision rated multimodal feedback as the most strongly preferred modality. In a pilot test, participants with impaired vision also showed a similar trend. Overall, the study found providing vibrotactile (or multimodal) feedback during physical exercise to be an effective way of improving exercise performance. Implications for future training platform development with vibrotactile or multimodal feedback for people with impaired vision are discussed.

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Section: Discussionmentioning

confidence: 99%

Effects of vibrotactile feedback on yoga practice

Islam

Lee²,

Harden³

et al. 2022

Front. Sports Act. Living

Self Cite

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“…Previous studies have shown that haptic feedback-based methods can be effective to improve motor learning outcomes (Basalp et al, 2021 ). Vibrotactile feedback has also been proven effective in virtual motor learning (Islam and Lim, 2022 ). A previous study has also shown that haptic feedback can be used for indirect postural adaptation applications while performing a one-dimensional reaching task (Agarwal et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Let the force guide you: a performance-based adaptive algorithm for postural training using haptic feedback

Agarwal

Hussain²,

SKM³

et al. 2022

Front. Hum. Neurosci.

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Motor learning is an essential component of human behavior. Many different factors can influence the process of motor learning, such as the amount of practice and type of feedback. Changes in task difficulty during training can also considerably impact motor learning. Typical motor learning studies include a sequential variation of task difficulty, i.e., easy to challenging, irrespective of user performance. However, many studies have reported the importance of performance-based task difficulty variation for effective motor learning and skill transfer. A performance-based adaptive algorithm for task difficulty variation based on the challenge-point framework is proposed in this study. The algorithm is described for postural adaptation during simultaneous upper-limb training. Ten healthy participants (28 ± 2.44 years) were recruited to validate the algorithm. Participants adapted to a postural target of 20° in the anterior direction from the initial upright posture while performing a unimanual reaching task using a robotic device. Results suggest a significant decrease in postural error after training. The algorithm successfully adapted the task difficulty based on the performance of the user. The proposed algorithm could be modified for different motor skills and can be further evaluated for different applications in order to maximize the potential benefits of rehabilitation sessions.

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Section: Opportunities In Occupational Applications Of Wearable Techn...mentioning

confidence: 99%

“…Other emerging fields of research in the prevention of WMSDs are augmented reality (AR), virtual reality (VR), and similar computer-generated environments [295]. For an overview of these research fields, the reader is referred to other sources [295][296][297], but some aspects can be highlighted related to the prevention of WMSDs. Augmented reality, in which virtual representations of objects are overlaid onto real physical contexts [295], is used in some of the systems providing feedback to the wearer, as shown in Table 7.…”

Section: Opportunities In Occupational Applications Of Wearable Techn...mentioning

confidence: 99%

“…For an overview of these research fields, the reader is referred to other sources [295][296][297], but some aspects can be highlighted related to the prevention of WMSDs. Augmented reality, in which virtual representations of objects are overlaid onto real physical contexts [295], is used in some of the systems providing feedback to the wearer, as shown in Table 7. One such example is the vision-based system evaluated by Vignais et al [87], in which the worker is represented as a manikin, and where adverse exposures are visualized as colored body parts of the manikin to indicate the severity of the hazardous exposure of each gross body segment.…”

Section: Opportunities In Occupational Applications Of Wearable Techn...mentioning

confidence: 99%

See 1 more Smart Citation

Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities

Lind

Abtahi

Forsman

2023

Sensors

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Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability worldwide and substantial societal costs. The use of wearable motion capture instruments has a role in preventing WMSDs by contributing to improvements in exposure and risk assessment and potentially improved effectiveness in work technique training. Given the versatile potential for wearables, this article aims to provide an overview of their application related to the prevention of WMSDs of the trunk and upper limbs and discusses challenges for the technology to support prevention measures and future opportunities, including future research needs. The relevant literature was identified from a screening of recent systematic literature reviews and overviews, and more recent studies were identified by a literature search using the Web of Science platform. Wearable technology enables continuous measurements of multiple body segments of superior accuracy and precision compared to observational tools. The technology also enables real-time visualization of exposures, automatic analyses, and real-time feedback to the user. While miniaturization and improved usability and wearability can expand the use also to more occupational settings and increase use among occupational safety and health practitioners, several fundamental challenges remain to be resolved. The future opportunities of increased usage of wearable motion capture devices for the prevention of work-related musculoskeletal disorders may require more international collaborations for creating common standards for measurements, analyses, and exposure metrics, which can be related to epidemiologically based risk categories for work-related musculoskeletal disorders.

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Vibrotactile feedback in virtual motor learning: A systematic review

Cited by 32 publications

References 105 publications

Effects of vibrotactile feedback on yoga practice

Effects of vibrotactile feedback on yoga practice

Let the force guide you: a performance-based adaptive algorithm for postural training using haptic feedback

Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities

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