Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data
We describe case studies of clinically significant changes in sedentary behavior of older
adults captured with a novel computer vision algorithm for depth data. An unobtrusive …
adults captured with a novel computer vision algorithm for depth data. An unobtrusive …
Recognizing complex instrumental activities of daily living using scene information and fuzzy logic
We describe a novel technique to combine motion data with scene information to capture
activity characteristics of older adults using a single Microsoft Kinect depth sensor …
activity characteristics of older adults using a single Microsoft Kinect depth sensor …
[PDF][PDF] Vision-based approach to senior healthcare: Depth-based activity recognition with convolutional neural networks
Recent progress in developing cost-effective sensors and machine learning techniques
have enabled new AI-assisted solutions for human behavior understanding. In this work, we …
have enabled new AI-assisted solutions for human behavior understanding. In this work, we …
Evaluation of an inexpensive depth camera for in-home gait assessment
An investigation of a new, inexpensive depth camera device, the Microsoft Kinect, for
passive gait assessment in home environments is presented. In order to allow older adults to …
passive gait assessment in home environments is presented. In order to allow older adults to …
Automating senior fitness testing through gesture detection with depth sensors
Sedentarism has a negative impact on health, life expectancy and quality of life, especially
in older adults. The assessment of functional fitness helps evaluating the effects of ageing …
in older adults. The assessment of functional fitness helps evaluating the effects of ageing …
[HTML][HTML] In-home older adults' activity pattern monitoring using depth sensors: A review
The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
Indoor activity tracking for elderly using intelligent sensors
The world is experiencing an unprecedented, enduring, and pervasive aging process. More
and more elderly will be staying alone at home, especially in the daytime, and need to …
and more elderly will be staying alone at home, especially in the daytime, and need to …
Activities of daily living classification using depth features
The increasing elderly population presents a challenge on the resources of carers and
assisted living communities. In this paper, we present an algorithm based around the …
assisted living communities. In this paper, we present an algorithm based around the …
[HTML][HTML] Toward Kinecting cognition by behaviour recognition-based deep learning and big data
M Soufian, S Nefti-Mezian, J Drake - Universal Access in the Information …, 2022 - Springer
The majority of older people wish to live independently at home as long as possible despite
having a range of age-related conditions including cognitive impairment. To facilitate this …
having a range of age-related conditions including cognitive impairment. To facilitate this …
FAME-ADL: A data-driven fuzzy approach for monitoring the ADLs of elderly people using Kinect depth maps
H Pazhoumand-Dar - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
This paper presents a novel unsupervised fuzzy approach to monitoring the activities of daily
living (ADLs) of elderly people living alone. Kinect sensors are employed in functional areas …
living (ADLs) of elderly people living alone. Kinect sensors are employed in functional areas …