AIMC Topic: Sitting Position

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A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving.

Sensors (Basel, Switzerland) Sep 1, 2022
Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledge of a driver's recent sitting and sleep history could help reduce safety risks. This study aimed to apply deep learning to raw accelerometry data col...
Humans Adult Male Deep Learning Female Accelerometry Sitting Position Young Adult Adolescent Movement Sleep
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Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms.

Sensors (Basel, Switzerland) Jul 26, 2022
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting ...
Deep Learning Posture Sitting Position Sedentary Behavior Humans Algorithms
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Effects of vertical vibration on sitting comfort in civil aviation during the cruising flight.

Ergonomics Jul 22, 2022
This paper investigated the effects of vertical vibration on sitting comfort in civil aviation, with particular attention to high-frequency components (i.e. 30‒100 Hz). We generated 24 vibration stimuli at four positions (i.e. the co-pilot, front, mi...
Vibration Aviation Male Humans Sitting Position Female
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Deep Learning-Based Device-Free Localization Scheme for Simultaneous Estimation of Indoor Location and Posture Using FMCW Radars.

Sensors (Basel, Switzerland) Jun 12, 2022
Indoor device-free localization (DFL) systems are used in various Internet-of-Things applications based on human behavior recognition. However, the usage of camera-based intuitive DFL approaches is limited in dark environments and disaster situations...
Humans Neural Networks, Computer Deep Learning Sitting Position Posture Standing Position
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Real-time motion onset recognition for robot-assisted gait rehabilitation.

Journal of neuroengineering and rehabilitation Jan 28, 2022
BACKGROUND: Many patients with neurological movement disorders fear to fall while performing postural transitions without assistance, which prevents them from participating in daily life. To overcome this limitation, multi-directional Body Weight Sup...
Robotics Walking Gait Humans Spinal Cord Injuries Sitting Position
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Posture Detection of Individual Pigs Based on Lightweight Convolution Neural Networks and Efficient Channel-Wise Attention.

Sensors (Basel, Switzerland) Dec 15, 2021
In this paper, a lightweight channel-wise attention model is proposed for the real-time detection of five representative pig postures: standing, lying on the belly, lying on the side, sitting, and mounting. An optimized compressed block with symmetri...
Sitting Position Neural Networks, Computer Animals Posture Attention Swine
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Improved Self-Organizing Map-Based Unsupervised Learning Algorithm for Sitting Posture Recognition System.

Sensors (Basel, Switzerland) Sep 17, 2021
As the intensity of work increases, many of us sit for long hours while working in the office. It is not easy to sit properly at work all the time and sitting for a long time with wrong postures may cause a series of health problems as time goes by. ...
Posture Humans Unsupervised Machine Learning Sitting Position Neural Networks, Computer Algorithms
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Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

Topics in spinal cord injury rehabilitation Aug 13, 2021
BACKGROUND: Using proper transfer technique can help to reduce forces and prevent secondary injuries. However, current assessment tools rely on the ability to subjectively identify harmful movement patterns.
Humans Machine Learning Task Performance and Analysis Spinal Cord Injuries Biomechanical Phenomena Female Sitting Position Wheelchairs Adult Male Middle Aged
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Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals.

International journal of neural systems Sep 11, 2020
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. Wireless electroencepha...
Accelerometry Sitting Position Human Activities Walking Humans Monitoring, Ambulatory Adult Standing Position Electroencephalography Machine Learning
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Detecting prolonged sitting bouts with the ActiGraph GT3X.

Scandinavian journal of medicine & science in sports Dec 22, 2019
The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture classification to measure sedentary behavior. The aim of the present study was to develop an ActiGraph (waist-worn, 30 Hz) posture classification to ...
Male Middle Aged Time Actigraphy Sedentary Behavior Female Machine Learning Humans Adult Algorithms Sitting Position
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