KINECT applications for the physical rehabilitation

Kitsunezaki, Naofumi; Adachi, Eijiro; Masuda, Takashi; Mizusawa, Jun-ichi

doi:10.1109/memea.2013.6549755

Cited by 81 publications

(40 citation statements)

References 2 publications

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“…Kitsunezaki et al [57] augmented the TUG and 10 meter walk test with a Kinect. Like Lohmann and colleagues, it was reported their Kinect processing algorithms have high precision, 0.33 seconds average difference when compared to stopwatch times.…”

Section: Tug Technologiesmentioning

confidence: 99%

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Sprint

Cook

Weeks³

2015

IEEE Rev. Biomed. Eng.

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Older adults often suffer from functional impairments that affect their ability to perform everyday tasks. To detect the onset and changes in abilities, healthcare professionals administer standardized assessments. Recently, technology has been utilized to complement these clinical assessments to gain a more objective and detailed view of functionality. In the clinic and at home, technology is able to provide more information about patient performance and reduce subjectivity in outcome measures. The timed up and go (TUG) test is one such assessment recently instrumented with technology in several studies, yielding promising results towards the future of automating clinical assessments. Potential benefits of technological TUG implementations include additional performance parameters, generated reports, and the ability to be self-administered in the home. In this paper, we provide an overview of the TUG test and technologies utilized for TUG instrumentation. We then critically review the technological advancements and follow up with an evaluation of the benefits and limitations of each approach. Finally, we analyze the gaps in the implementations and discuss challenges for future research towards automated, self-administered assessment in the home.

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Section: Tug Technologiesmentioning

confidence: 99%

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Sprint

Cook

Weeks³

2015

IEEE Rev. Biomed. Eng.

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“…Llorens et al [10] presented a study involving chronic stroke patients for the evaluation of the clinical effectiveness of a virtual stepping exercise using skeleton tracking through the KINECT depth sensor. Kitsunezaki et al [11] developed several applications that used KINECT for physical rehabilitation tests, such as walking motion and joint range, and confirmed the effectiveness of these applications.…”

Section: Visualizing Load Weight Without Force Sensorsmentioning

confidence: 91%

Training Assist System of a Lower Limb Prosthetic Visualizing Floor-Reaction Forces Using a Color-Depth Sensing Camera

Ogata

Mita

Shimizu

et al. 2015

IEICE Trans. Inf. & Syst.

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SUMMARYSome unilateral lower-limb amputees, have through continued exertion, increase the foot reaction force of the sound leg. The asymmetric gait with a prosthetic leg may thus negatively affect the musculoskeletal health of the leg on the healthy side. Therefore, it is important for these amputees to learn how to adjust the balance of each foot load in training. The aim of this study is to develop a training support system visualizing floor-reaction forces using a color-depth sensor. The pose of the entire body of the amputee is measured by the depth sensor, and the floor reaction force is estimated based on Zero Moment Point (ZMP), which is calculated using the center of mass of the amputee. Evaluation experiments of the proposed method were performed and they confirmed the effectiveness of the estimation method and the training with the visualization of reaction force.

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“…Besides, Kitsunezaki, et al [18] reported four types of Kinect-based physical applications to measure useful parameters such as walking time or joint angle ranges, to determining training effectiveness.…”

Section: Research Jiann-der Leementioning

confidence: 99%

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

Lee¹,

Hsieh²,

Lin³

2018

Neuropsychiatry

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In this study, a physical rehabilitation system based on Kinect sensor is proposed to assist patients with movement disorders to perform the "Tai Chi" exercises at home. With the aid of skeletal tracking of Kinect sensor, each movement of the patient while performing Tai Chi exercises is well recognized and validated. More specifically, patient's movements are compared with the prerecorded movements form a coach, and further evaluated by using fuzzy logic system (FLS). The experiment was carried out according to an ABAB sequence, i.e., A represents the baseline and B represents intervention phases. Experimental results also show that the participants significantly increased their motivation for physical rehabilitation, thus improving exercise performance during the intervention phases.

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KINECT applications for the physical rehabilitation

Cited by 81 publications

References 2 publications

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Training Assist System of a Lower Limb Prosthetic Visualizing Floor-Reaction Forces Using a Color-Depth Sensing Camera

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

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