AIMC Topic: Accelerometry

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Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach.

IEEE transactions on cybernetics Jun 9, 2016
This paper deals with collision and hazard detection for motorcycles via inertial measurements. For this kind of vehicles, the most difficult challenge is to distinguish road's anomalies from real hazards. This is usually done by setting absolute thr...
Safety Accelerometry Cybernetics Motorcycles Humans Neural Networks, Computer Algorithms Accidents, Traffic
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A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.

Medical & biological engineering & computing Apr 22, 2016
Falls are the leading cause of injury-related morbidity and mortality among older adults. Over 90 % of hip and wrist fractures and 60 % of traumatic brain injuries in older adults are due to falls. Another serious consequence of falls among older adu...
Accidental Falls Signal Processing, Computer-Assisted Activities of Daily Living Humans Accelerometry Machine Learning Algorithms Young Adult Adult Sensitivity and Specificity
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Localizing Tortoise Nests by Neural Networks.

PloS one Mar 17, 2016
The goal of this research is to recognize the nest digging activity of tortoises using a device mounted atop the tortoise carapace. The device classifies tortoise movements in order to discriminate between nest digging, and non-digging activity (spec...
Humans Neural Networks, Computer Turtles Movement Nesting Behavior Female Animals Equipment Design Accelerometry
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A Human Activity Recognition System Using Skeleton Data from RGBD Sensors.

Computational intelligence and neuroscience Mar 16, 2016
The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to addr...
Human Activities Skeleton Support Vector Machine Pattern Recognition, Automated Accelerometry Joints Humans Machine Learning Algorithms Female Aged Male
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A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

Sensors (Basel, Switzerland) Jan 21, 2016
Machine learning methods have been widely used for gait assessment through the estimation of spatio-temporal parameters. As a further step, the objective of this work is to propose and validate a general probabilistic modeling approach for the classi...
Humans Gait Middle Aged Markov Chains Paresis Monitoring, Ambulatory Machine Learning Support Vector Machine Accelerometry Huntington Disease Female Signal Processing, Computer-Assisted Stroke Aged Male
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Estimation of Human Arm Joints Using Two Wireless Sensors in Robotic Rehabilitation Tasks.

Sensors (Basel, Switzerland) Dec 4, 2015
This paper presents a novel kinematic reconstruction of the human arm chain with five degrees of freedom and the estimation of the shoulder location during rehabilitation therapy assisted by end-effector robotic devices. This algorithm is based on th...
Rehabilitation Wireless Technology Accelerometry Joints Upper Extremity Humans Man-Machine Systems Algorithms Biomechanical Phenomena Robotics
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Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors.

Journal of neuroengineering and rehabilitation Oct 14, 2015
BACKGROUND: Wearable sensor systems can provide data for at-home gait analyses and input to controllers for rehabilitation devices but they often have reduced estimation accuracy compared to laboratory systems. The goal of this study is to evaluate a...
Animals Male Middle Aged Cattle Neural Networks, Computer Walking Female Gait Adult Accelerometry Humans Biomechanical Phenomena Ankle Joint
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A Context-Aware Application to Increase Elderly Users Compliance with Physical Rehabilitation Exercises at Home via Animatronic Biofeedback.

Journal of medical systems Aug 30, 2015
Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In addition, it allows the physical rehabilitation processes carried out at the clinic to be complemented wit...
Animals Male Middle Aged User-Computer Interface Robotics Electromyography Patient Compliance Exercise Therapy Female Reproducibility of Results Aged Feedback Humans Monitoring, Ambulatory Accelerometry Pets
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Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

Biomedical engineering online Jun 6, 2015
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators of cognitive health status and their assessment is a measure of independence in everyday living. ADL are difficult to reliably assess using questionna...
Male Middle Aged Decision Trees Bayes Theorem Neuropsychological Tests Algorithms Female Wireless Technology Aged Thermometry Sleep Humans Adult Infrared Rays Accelerometry Medical Records Circadian Rhythm Supervised Machine Learning Activities of Daily Living Healthy Volunteers
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A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

IEEE journal of biomedical and health informatics May 6, 2015
Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated with the current inpatient stroke rehabi...
Monitoring, Physiologic Principal Component Analysis Electromyography Motion Humans Adult Pattern Recognition, Automated Algorithms Male Accelerometry Female Middle Aged Stroke Rehabilitation Aged Fuzzy Logic
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