AIMC Topic: Accidental Falls
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Accelerometer and Camera-Based Strategy for Improved Human Fall Detection.
Journal of medical systems
Oct 29, 2016
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on accelerometric data and variations in human silhouette shape. First, we use the exponentially weighted moving a...
Autoregressive-moving-average hidden Markov model for vision-based fall prediction-An application for walker robot.
Assistive technology : the official journal of RESNA
Jul 22, 2016
Population aging of the societies requires providing the elderly with safe and dependable assistive technologies in daily life activities. Improving the fall detection algorithms can play a major role in achieving this goal. This article proposes a r...
Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People.
IEEE journal of biomedical and health informatics
Jun 2, 2016
Getting out of bed and ambulating without supervision is identified as one of the major causes of patient falls in hospitals and nursing homes. Therefore, increased supervision is proposed as a key strategy toward falls prevention. An emerging genera...
Social service robots to support independent living : Experiences from a field trial.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
BACKGROUND: Assistive robots could be a future means to support independent living for seniors.
Austria
Equipment Failure Analysis
Independent Living
Man-Machine Systems
Patient Preference
Self-Help Devices
Needs Assessment
User-Computer Interface
Utilization Review
Robotics
Equipment Design
Activities of Daily Living
Humans
Aged, 80 and over
Female
Male
Sweden
Social Support
Aged
Accidental Falls
Designing a social and assistive robot for seniors.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
BACKGROUND: The development of social assistive robots is an approach with the intention of preventing and detecting falls among seniors. There is a need for a relatively low-cost mobile robot with an arm and a gripper which is small enough to naviga...
A decision model to predict the risk of the first fall onset.
Experimental gerontology
Apr 23, 2016
BACKGROUND: Miscellaneous features from various domains are accepted to be associated with the risk of falling in the elderly. However, only few studies have focused on establishing clinical tools to predict the risk of the first fall onset. A model ...
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...
MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 25, 2016
The MIT-Skywalker is a novel robotic device developed for the rehabilitation or habilitation of gait and balance after a neurological injury. It represents an embodiment of the concept exhibited by passive walkers for rehabilitation training. Its nov...
Classification of radiology reports for falls in an HIV study cohort.
Journal of the American Medical Informatics Association : JAMIA
Nov 13, 2015
OBJECTIVE: To identify patients in a human immunodeficiency virus (HIV) study cohort who have fallen by applying supervised machine learning methods to radiology reports of the cohort.
Fall Down Detection Under Smart Home System.
Journal of medical systems
Aug 15, 2015
Medical technology makes an inevitable trend for the elderly population, therefore the intelligent home care is an important direction for science and technology development, in particular, elderly in-home safety management issues become more and mor...
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