AIMC Topic: Accidental Falls

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Split BiRNN for real-time activity recognition using radar and deep learning.

Scientific reports May 6, 2022
Radar systems can be used to perform human activity recognition in a privacy preserving manner. This can be achieved by using Deep Neural Networks, which are able to effectively process the complex radar data. Often these networks are large and do no...
Humans Neural Networks, Computer Human Activities Radar Deep Learning Accidental Falls
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KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network.

Sensors (Basel, Switzerland) Mar 29, 2022
Over the past decade, gait recognition had gained a lot of attention in various research and industrial domains. These include remote surveillance, border control, medical rehabilitation, emotion detection from posture, fall detection, and sports tra...
Accidental Falls Emotions Humans Neural Networks, Computer Gait Recognition, Psychology
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Crash test-based assessment of injury risks for adults and children when colliding with personal mobility devices and service robots.

Scientific reports Mar 28, 2022
Autonomous mobility devices such as transport, cleaning, and delivery robots, hold a massive economic and social benefit. However, their deployment should not endanger bystanders, particularly vulnerable populations such as children and older adults ...
Accidental Falls Accidents, Traffic Child Craniocerebral Trauma Humans Robotics Pedestrians Aged
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Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System.

Sensors (Basel, Switzerland) Feb 18, 2022
Considering that the population is aging rapidly, the demand for technology for aging-at-home, which can provide reliable, unobtrusive monitoring of human activity, is expected to expand. This research focuses on improving the solution of the posture...
Posture Recognition, Psychology Accidental Falls Fuzzy Logic Humans Algorithms
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Finite Element Assessment of Bone Fragility from Clinical Images.

Current osteoporosis reports Dec 21, 2021
PURPOSE OF REVIEW: We re-evaluated clinical applications of image-to-FE models to understand if clinical advantages are already evident, which proposals are promising, and which questions are still open.
Finite Element Analysis Osteoporotic Fractures Fractures, Spontaneous Femoral Fractures Predictive Value of Tests Spinal Fractures Artificial Intelligence Risk Factors Reproducibility of Results Accidental Falls Humans
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LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection.

Sensors (Basel, Switzerland) Dec 20, 2021
The continuous development of intelligent video surveillance systems has increased the demand for enhanced vision-based methods of automated detection of anomalies within various behaviors found in video scenes. Several methods have appeared in the l...
Accidental Falls Humans Neural Networks, Computer
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Belmont village senior living comprehensive fall management using new artificial intelligence program in memory care.

Geriatric nursing (New York, N.Y.) Nov 5, 2021
Humans Artificial Intelligence Accidental Falls
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Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults.

Sensors (Basel, Switzerland) Oct 28, 2021
Falls are a major cause of morbidity and mortality in neurological disorders. Technical means of detecting falls are of high interest as they enable rapid notification of caregivers and emergency services. Such approaches must reliably differentiate ...
Activities of Daily Living Humans Accidental Falls Machine Learning Support Vector Machine Algorithms Aged
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A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.

Sensors (Basel, Switzerland) Sep 29, 2021
Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research i...
Deep Learning Accidental Falls Algorithms Humans Wearable Electronic Devices Aged Seasons
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A Soft Robotic Intervention for Gait Enhancement in Older Adults.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 14, 2021
Falls continue to be a major safety and health concern for older adults. Researchers reported that increased gait variability was associated with increased fall risks. In the present study, we proposed a novel wearable soft robotic intervention and e...
Exercise Test Gait Accidental Falls Humans Walking Robotics Aged
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