Video analysis for identifying human operation difficulties and faucet usability assessment

Taati, Babak; Snoek, Jasper; Mihailidis, Alex

doi:10.1016/j.neucom.2011.10.041

Cited by 18 publications

(8 citation statements)

References 17 publications

(28 reference statements)

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“…However, as these methods are resource intensive, conducting a large-scale study would be a significant undertaking. To address this, work is underway to develop computer algorithms that can autonomously capture and categorise product use, allowing large amounts of data to be analysed automatically with the goal of enabling a more holistic understanding of product use [46,47]. …”

Section: Resultsmentioning

confidence: 99%

Examining the impact of familiarity on faucet usability for older adults with dementia

2013

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BackgroundChanges in cognition caused by dementia can significantly alter how a person perceives familiarity, impacting the recognition and usability of everyday products. A person who is unable to use products cannot autonomously complete associated activities, resulting in increased dependence on a caregiver and potential move to assisted living facilities. The research presented in this paper hypothesised that products that are more familiar will result in better usability for older adults with dementia. Better product usability could, in turn, potentially support independence and autonomy.MethodsThis research investigated the impact of familiarity on the use of five faucet designs during 1309 handwashing trials by 27 older adults, who ranged from cognitively intact to the advanced (severe) stages of dementia. Human factors methods were used to collect empirical and self-reported data to gauge faucets’ usability. Participants’ data were grouped according to cognition (i.e., no/mild, moderate, or severe dementia). Logistic regression, ranking by odds, and Wald tests of odds ratios were used to compare performance of the three groups on the different faucets. Qualitative data were used in the interpretation of quantitative results.ResultsResults indicated that more familiar faucets correlated with lower levels of assistance from a caregiver, fewer operational errors, and greater levels of operator satisfaction. Aspects such as the ability to control water temperature and flow as well as pleasing aesthetics appeared to positively impact participants’ acceptance of a faucet. The dual lever design achieved the best overall usability.ConclusionsWhile work must be done to expand these findings to other products and tasks, this research provides evidence that familiarity plays a substantial role in product usability for older adults that appears to become more influential as dementia progresses. The methods used in this research could be adapted to analyse usability for other products by older adults with dementia.

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Section: Resultsmentioning

confidence: 99%

Examining the impact of familiarity on faucet usability for older adults with dementia

2013

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“…Markerless motion capture systems (e.g., using a simple webcam) offer an opportunity to reconstruct kinematic features comparable to gait laboratory tools and motion sensors [14]. Computer vision approaches have also been employed in video-based systems to assist older adults to age-in-place [15][16]. These systems do not require the placement of additional sensors or markers on or around the person's body.…”

Section: Previous Workmentioning

confidence: 99%

Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement

Dolatabadi¹,

Taati²,

Mihailidis³

2014

J Rehabil Res Dev

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This article presents a single case study on the feasibility of using a low-cost and portable vision-based system (a Microsoft Kinect sensor) to monitor changes in movement patterns before and after a total hip replacement surgery. The primary subject was a male older adult with total hip replacement who performed two different functional tasks: walking and sit-to-stand. The tasks were recorded with a Kinect multiple times, starting from 1 d before the surgery until 9 wk after the surgery. An automated algorithm has been developed to extract the important spatiotemporal characteristics from the video recorded functional tasks (walking and sit-to-stand). Statistical analysis was then performed by Tryon C statistic to study changes in spatiotemporal characteristics between different stages before and after the surgery. The statistical analysis indicated significant difference and slight improvement between all measures from the presurgery to each postsurgery date. The study confirmed that the Kinect sensor and an automated algorithm have the potential to be integrated into a patient's home to monitor changes in mobility during the recovery period.

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“…An automated tool capable of partitioning recorded videos into meaningful segments and marking potentially abnormal events will be a useful tool in collecting a large scale database of real falls. A similar approach has been used in the past in automating the video annotation process in other applications which require the analysis of human-environment interaction [4]. The focus of this work is on the development of a system for the automated detection of falls and abnormal events during a stairway descent.…”

Section: A Motivationmentioning

confidence: 99%

3D Human Motion Analysis to Detect Abnormal Events on Stairs

Parra-Dominguez

Taati

Mihailidis

2012

2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization &Amp; Transmission

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Falls on the stairs are a common cause of accidental injury among the older adults. Understanding the mechanisms leading to such accidents may improve not only the prevention of falls, but also support independent living among elderly. Thus, a method to automatically detect falls and other abnormal events on stairs is presented and empirically validated. Automatic fall detection will also assist in data collection for environmental design improvements and fall prevention. Real-time 3D joint tracking information, provided by a Microsoft Kinect, is used to estimate the walking speed and to extract a set of features that encode human motion during stairway descent. Supervised learning algorithms, trained on manually labelled training data simulated in a home laboratory, obtained a high detection accuracy rate of ∼ 92% in leave-onesubject-out cross validation. In contrast with previous research, which identified visual tracking of the feet as the best indicator of dangerous activity, 3D motion of the hips is experimentally shown to be the most informative component in detecting abnormal events in the 3D tracking data provided by the Kinect.

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Video analysis for identifying human operation difficulties and faucet usability assessment

Cited by 18 publications

References 17 publications

Examining the impact of familiarity on faucet usability for older adults with dementia

Examining the impact of familiarity on faucet usability for older adults with dementia

Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement

3D Human Motion Analysis to Detect Abnormal Events on Stairs

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