AIMC Topic: Sitting Position

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Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition.

Sensors (Basel, Switzerland) Mar 31, 2019
In the last decade, deep learning techniques have further improved human activity recognition (HAR) performance on several benchmark datasets. This paper presents a novel framework to classify and analyze human activities. A new convolutional neural ...
Human Activities Deep Learning Smartphone Walking Accelerometry Photography Sitting Position Young Adult Adult Middle Aged Humans
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Analysis of body pressure distribution on car seats by using deep learning.

Applied ergonomics Nov 21, 2018
This study aimed to extract information from body pressure distribution, including comfort, participant body size, and seat characteristics by using supervised deep learning, and body pressure characteristics corresponding to sensory evaluation by us...
Deep Learning Automobiles Equipment Design Healthy Volunteers Pressure Female Ergonomics Adult Sitting Position Male Humans Body Size
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High Amounts of Sitting, Low Cardiorespiratory Fitness, and Low Physical Activity Levels: 3 Key Ingredients in the Recipe for Influencing Metabolic Syndrome Prevalence.

American journal of health promotion : AJHP Dec 22, 2016
PURPOSE: Limited research has evaluated the independent and additive associations of moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and cardiorespiratory fitness (CRF) with metabolic syndrome, which was the purpose of this st...
Oxygen Consumption Exercise Test Adiposity Metabolic Syndrome Sitting Position Cardiorespiratory Fitness Lipids Accelerometry Blood Pressure Sedentary Behavior Middle Aged Exercise Prevalence Blood Glucose Logistic Models Nutrition Surveys Humans Female Young Adult Adult Cross-Sectional Studies Male
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A Resistance-Free Sit-To-Stand Rehabilitative System Incorporated with Multi-Sensory Feedback.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Robotic rehabilitative systems have been an active area of research for all movements, including Sit to Stand (STS). STS is an important movement for performing various activities of daily living. Rehabilitation of the STS movement is one of the most...
Movement Feedback, Sensory Rehabilitation Robotics Equipment Design Sitting Position Humans
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Real-Time Control for Assisted Sit-to-Stand via Legged Robotic Helpers.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Bipedal robotic systems open up distinctive opportunities to aid individuals with reduced mobility in daily activities such as walking, rising from a seated position, and engaging in fundamental tasks that involve standing, such as bathing or getting...
Equipment Design Standing Position Leg Sitting Position Humans Posture Robotics
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Skeleton data pre-processing for human pose recognition using Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Automatic monitoring of daily living activities can greatly improve the possibility of living autonomously for frail individuals. Pose recognition based on skeleton tracking data is promising for identifying dangerous situations and trigger external ...
Humans Neural Networks, Computer Activities of Daily Living Sitting Position
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Design and Development of a Sitting Posture Recognition System.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Sitting posture recognition can be used to evaluate the awareness of a person carrying out a task, such as working or driving, and can aid in avoiding accidents or other health risks, such as musculoskeletal disorders. In addition, sitting posture ca...
Male Humans Sitting Position Body Mass Index Machine Learning Pressure Female
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Robot-based assessment of sitting and standing balance: preliminary results in Parkinson's disease.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Postural responses to unstable conditions or perturbations are important predictors of the risk of falling and can reveal balance deficits in people with neurological disorders, such as Parkinson's Disease (PD). However, there is a lack of evidences ...
Aged Male Middle Aged Humans Female Postural Balance Standing Position Sitting Position Accidental Falls Parkinson Disease Robotics
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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Exercise Pilot Projects Thigh Monitoring, Ambulatory Accelerometry Sitting Position Humans Breast Neoplasms Machine Learning Cross-Sectional Studies Algorithms Middle Aged Hip Female Survivors Aged
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