The gesture imitation test in dementia with Lewy bodies and Alzheimer's disease dementia

Li, Xudong; Shen, Miaoxin; Han, Ziling; Jiao, Jinsong; Tong, Xiaopeng

doi:10.3389/fneur.2022.950730

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Preemptive solutions whereby people can easily test themselves to see whether they need serious tests are helpful. To solve this problem, several researchers have developed cognitive ability measurement technology based on behavioral data that can be assessed without a heavily trained professional and that also often has lower learning effects [16,17]. However, these methods also have shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Hand Rotation Recognition Technique with Ground-Truth Dataset

Kim,

Kim

2024

Applied Sciences

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The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector’s competency, which can have consequences for rapid-onset cognitive-related diseases. To solve this problem, a behavioral-data-based screening test is necessary, and there are various types of tasks that can be adopted from previous studies, or new ones can be explored. In this study, we came up with a continuous hand movement, developed a behavioral measurement technology, and conducted validity verification. As a result of analyzing factors that hinder measurement accuracy, this measurement technology used a web camera to measure behavioral data of hand movements in order to lower psychological barriers and to pose no physical risk to subjects. The measured hand motion is a hand rotation that repeatedly performs an action in which the bottom of the hand is seen in front. The number of rotations, rotation angle, and rotation time generated by the hand rotation are derived as measurements; and for calculation, we performed hand recognition (MediaPipe), joint data detection, motion recognition, and motion analysis. To establish the validity of the derived measurements, we conducted a verification experiment by constructing our own ground-truth dataset. The dataset was developed using a robot arm with two-axis degrees of freedom and that quantitatively controls the number, time, and angle of rotations. The dataset includes 540 data points comprising 30 right- and left-handed tasks performed three times each at distances of 57, 77, and 97 cm from the camera. Thus, the accuracy of the number of rotations is 99.21%, the accuracy of the rotation angle is 91.90%, and the accuracy of the rotation time is 68.53%, making the overall rotation measurements more than 90% accurate for input data at 30 FPS for measuring the rotation time. This study is significant in that it not only contributes to the development of technology that can measure new behavioral data in health care but also shares image data and label values that perform quantitative hand movements in the image processing field.

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Section: Introductionmentioning

confidence: 99%

Vision-Based Hand Rotation Recognition Technique with Ground-Truth Dataset

Kim,

Kim

2024

Applied Sciences

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Research Trends and Usability Challenges in Behavioral Data-Based Cognitive Function Assessment

Jang,

Kim,

Kim

2024

Electronics

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The prevalence of dementia, a condition associated with high social costs, is rising alongside the aging population. Early diagnosis of mild cognitive impairment (MCI), a precursor to dementia, is essential for effective intervention. Recent research has focused on diagnosing cognitive function in the elderly by analyzing behavioral data, such as gait and hand movements. Compared to traditional neuropsychological assessment methods, behavioral data-based assessments offer advantages, including reduced fatigue for patients and examiners, faster testing procedures, and more objective evaluation of results. This study reviews 15 research projects from the past five years (2018–2023) that have utilized behavioral data to assess cognitive function. It examines the specific gait and hand movement variables used, the technologies implemented, and user experiences reported in these studies. As these types of assessments require new technologies or environments, we analyzed usability issues that should be considered for accurate cognitive assessment. Based on this analysis, the paper proposes future directions for research in the field of behavioral data-based cognitive function assessment.

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The gesture imitation test in dementia with Lewy bodies and Alzheimer's disease dementia

Cited by 2 publications

References 36 publications

Vision-Based Hand Rotation Recognition Technique with Ground-Truth Dataset

Vision-Based Hand Rotation Recognition Technique with Ground-Truth Dataset

Research Trends and Usability Challenges in Behavioral Data-Based Cognitive Function Assessment

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