Inexpensive Virtual Assisted Rehabilitation System (VARS) for lower part injuries

Bayan, Samar; Assaf, Kamilia; Yassin, Marwa; Cherry, Ali; Raad, Mohamad; Hamawy, Lara

doi:10.1109/icabme.2017.8167539

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The results also confirmed positive feedback even without the previous experience of patients with virtual reality [10]. For this reason, systems have been developed, such as the Rehabilitation gaming system (RGS) [11], Computer Assisted Rehabilitation Environment (CAREN) [12] or Virtual Assisted Rehabilitation System (VARS, lowcost solution) [13]. Most of the systems using high immersive technologies like VR has a positive effect on minimizing recovery time and training progress [14].…”

Section: Related Workmentioning

confidence: 63%

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

Pastornicky¹,

Chovanec²

2020

AEI

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The article deals with the possibilities of interaction in the virtual environment (VE) of the CAVE LIRKIS system. Commonly available peripherals are keyboard, mouse or gamepad. However, these do not provide a sufficient level of immersion, such as hand gestures. The MYO armband has proven to be one of the potential devices for improving interaction. Therefore, a system for editing an object transformation in VE was created using hand gestures and movements. Enhancing the natural user interface (NUI) of the system with additional interaction capabilities has proven the device to be suitable also for further development.

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Section: Related Workmentioning

confidence: 63%

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

Pastornicky¹,

Chovanec²

2020

AEI

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“…Bayan et al proposed an experimental rehab system for patients with lower-limb injuries. 78 Their system was made of VR eyeglasses for providing a virtual environment, EMG shield for analyzing muscle activity, an accelerometer for tracking the movements of users, and pressure sensors to measure the feet forces on the ground. sEMG and accelerometer sensors were attached on participants’ feet.…”

Section: Resultsmentioning

confidence: 99%

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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Low Profile and Low Cost Textile Smart Mat for Step Pressure Sensing and Position Mapping

Lin

Seet

et al. 2019

2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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Inexpensive Virtual Assisted Rehabilitation System (VARS) for lower part injuries

Cited by 3 publications

References 2 publications

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

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

Low Profile and Low Cost Textile Smart Mat for Step Pressure Sensing and Position Mapping

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