Evaluating activities of daily living using an infrared depth sensor: KINECTTM.

Purpose: With a growing proportion of elderly people in the population, the maintenance of activities of daily living (ADLs) in elderly people is crucial to keep medical costs down. We investigated the ADL measurement accuracy of KINECTTM and Kinect Studio. To eliminate the subjectivity of conventio...

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Publicado en:Disability & Rehabilitation: Assistive Technology Vol. 14; no. 4; pp. 368 - 379
Autores principales: Kusunoki, Masanobu, Kohama, Takeshi, Yamada, Yoshifumi, Fujita, Eiji, Okada, Soichi, Maeda, Akira, Takeshima, Nobuo
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
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      pub: Taylor & Francis Ltd
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        10.1080/17483107.2018.1449020
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        atl: Evaluating activities of daily living using an infrared depth sensor: KINECTTM.
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        au:
          Kusunoki, Masanobu
          Kohama, Takeshi
          Yamada, Yoshifumi
          Fujita, Eiji
          Okada, Soichi
          Maeda, Akira
          Takeshima, Nobuo
        affil: Faculty Biology Oriented Science and Technology, Kindai University, Wakayama, Japan
      sug:
        subj:
          Activities of Daily Living Evaluation
          Wearable Sensors Utilization
          Radiation, Non-Ionizing Equipment and Supplies
          Sensitivity and Specificity
          Gerontologic Care
          Human
          Motion Analysis Systems
          Frail Elderly
          Male
          Aged
          Measurement Error
          Imaging, Three-Dimensional
          Movement
          Funding Source
          Aged: 65+ years
          Male
      ab: Purpose: With a growing proportion of elderly people in the population, the maintenance of activities of daily living (ADLs) in elderly people is crucial to keep medical costs down. We investigated the ADL measurement accuracy of KINECTTM and Kinect Studio. To eliminate the subjectivity of conventional methods, we numerically assessed motions with computer analysis. Methods: Eighteen actions that repeated "move" and "stationary" phases, including movement of arms, legs, head and torso were measured using KINECTTM. Errors and standard deviations of joint coordinates at the stationary points outputted from KINECT Studio were evaluated. Simultaneous measurements were performed with KINECTTM using conventional high-performance motion capture, and the output was treated as a true value for comparison. Results: In most motions, errors of the joint coordinates were within 100 mm; however, there were two cases where errors due to the skeleton-model estimation by KINECT Studio increased. Firstly, when a part of the body unexpectedly moved out of the infrared measurable area, and secondly, when parts of the body overlapped each other on the KINECTTM image. Conclusions: KINECTTM and Kinect Studio are effective for ADL assessment when positions that cause large errors are excluded. Since KINECTTM has sufficient precision, it should also be possible to develop a more appropriate ADL evaluation system with a new algorithm of skeleton-model estimation that does not depend on KINECT Studio. The KINECTTM and Kinect Studio are effective for ADL assessment when positions that cause large errors are excluded With an increasing proportion of elderly people in the population, the maintenance of activities of daily living (ADLs) in elderly people is crucial to keep medical costs down Systems such as the KINECTTM can support these goals
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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