A Skeleton-Based Rehabilitation Exercise Assessment System With Rotation Invariance

Zheng, Kaili; Wu, Ji; Zhang, Jialin; Guo, Chenyi

doi:10.1109/tnsre.2023.3282675

Cited by 2 publications

(5 citation statements)

References 31 publications

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“…Existing studies applied these methodologies for joint angle/RoM estimation, 26 – 29 , 38 , 40 , 42 – 46 , 48 exercise recognition, 27 , 30 – 32 , 35 , 41 exercise evaluation, and biofeedback system via providing quality scores or visual cues. 27 , 31 , 33 – 37 , 39 , 41 , 45 – 47 …”

Section: Resultsmentioning

confidence: 99%

“…Zheng et al introduced a rotation-invariant skeleton-based system for assessing rehab exercises. 47 They employed 4 RGB cameras and a pre-trained model for human pose estimation to extract skeleton joints. Their dataset included 529 push-up samples collected from 16 healthy participants.…”

Section: Resultsmentioning

confidence: 99%

“…One notable advantage of graph-based methods is their ability to provide visual feedback by highlighting the joints involved in incorrect exercise execution. 34 , 47 It is, however, essential to consider the computational demands and resource requirements associated with these deep learning approaches, especially when deploying them in resource-constrained environments. Zheng et al distinguished two branches within vision-based assessment models: image-based and skeleton-based.…”

Section: Discussionmentioning

confidence: 99%

“…It has been claimed that skeleton-based methods are favored due to their simplicity in model training. 47 …”

Section: Discussionmentioning

confidence: 99%

“…Compared to the wearable technology, vision-based is a more convenient approach for the primary users of tele-rehab, the older adults and patients, as their exercise movements would not get influenced by the worn devices. 47 In addition, research has shown that the use of wearable devices in a real-life scenario is questionable, as the older adults are not keen to wear those devices. 91 Pressure-sensing technology remains underexplored in the realm of tele-rehab.…”

Section: Discussionmentioning

confidence: 99%

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Technological advances in lower-limb tele-rehabilitation: A review of literature

Ettefagh,

Roshan Fekr

2024

Journal of Rehabilitation and Assistive Technologies Engineerin

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Tele-rehabilitation is a healthcare practice that leverages technology to provide rehabilitation services remotely to individuals in their own homes or other locations. With advancements in remote monitoring and Artificial Intelligence, automatic tele-rehabilitation systems that can measure joint angles, recognize exercises, and provide feedback based on movement analysis are being developed. Such platforms can offer valuable information to clinicians for improved care planning. However, with various methods and sensors being used, understanding their pros, cons, and performance is important. This paper reviews and compares the performance of recent vision-based, wearable, and pressure-sensing technologies used in lower limb tele-rehabilitation systems over the past 10 years (from 2014 to 2023). We selected studies that were published in English and focused on joint angle estimation, activity recognition, and exercise assessment. Vision-based approaches were the most common, accounting for 42% of studies. Wearable technology followed at approximately 37%, and pressure-sensing technology appeared in 21% of studies. Identified gaps include a lack of uniformity in reported performance metrics and evaluation methods, a need for cross-subject validation, inadequate testing with patients and older adults, restricted sets of exercises evaluated, and a scarcity of comprehensive datasets on lower limb exercises, especially those involving movements while lying down.

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