A fall prevention program for the home environment

Gallagher, Bridget; Corbett, Ellen; Freeman, Lewis; Riddoch-Kennedy, Alison; Miller, Stacy; Smith, Cathy; Radensky, Laura; Zarrow, Amy

doi:10.1067/mhc.2001.119263

Cited by 41 publications

(25 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Medical costs for non-fatal and fatal falls in older adults are approximately 19 billion and 200 million dollars, respectively, per year [10]. Falls affect quality of life (sense of independence) by increasing the anxiety and fear of falling and reducing confidence in performing daily tasks [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Vibrotactile Cuing on Recovery Strategies From a Treadmill-Induced Trip

Lee

Martin

Thrasher

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

Effective fall prevention technologies need to detect and transmit the key information that will alert an individual in advance about a potential fall. This study investigated advanced vibrotactile cuing that may facilitate trip recovery for balance-impaired individuals who are prone to falling. A split-belt treadmill that simulated unpredictable trip perturbations was developed to compare balance recovery without and with cuing. Kinetic and kinematic measures from force plates and full body motion capture system were used to characterize the recovery responses. Experiment I evaluated recovery adaptation resulting from repeated trip exposure without vibrotactile cuing. Experiment II investigated the effects of vibrotactile cuing as a function of cuing location (upper arm, trunk, lower leg) and lead time prior to a trip (250, 500 ms). Experiment I showed that trip recovery improved progressively from the fourth to the eighth trial. Experiment II showed that trip recovery was almost the same as the eighth trial in Experiment I, regardless of the location of the cuing stimulus and lead time. The results suggest that a combination of vibrotactile cuing and hazard detection technology could reduce the risk of trips and falls.

show abstract

Section: Introductionmentioning

confidence: 99%

The Effect of Vibrotactile Cuing on Recovery Strategies From a Treadmill-Induced Trip

Lee

Martin

Thrasher

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

show abstract

“…Position balance ability and most behaviors that occur in daily living are associated with visual perception7 ) , and impairments in cognitive functioning affect the balance maintenance ability and physical body integration of elders, acting as a risk factor for falls8 ) . Balance is an essential element of functional activity, and balance ability is regarded as a critical factor involved in elders’ daily living9 ) .…”

Section: Introductionmentioning

confidence: 99%

Comparison of older adults’ visual perceptual skills, cognitive function, and fall efficacy according to fall risk in the elderly

2016

View full text Add to dashboard Cite

[Purpose] This research aims to identify the relationships among visual perceptual skills, cognitive functioning, and fall efficacy of older adults based on whether they are at risk for falls. [Subjects and Methods] Subjects included 116 older adults over 65 years of age who use D Seniors Welfare Center and Y Senior Citizen Center in Busan Metropolitan City. All research subjects were classified based on balance maintenance ability evaluation and whether or not they had experienced falls more than once. Those with scores below the cut-off standard were selected as a group of older adults at risk for falls. An MVPT-3 test was used to assess visual perceptual skill, MMSE-KC, and MoCA-K tests to assess cognitive function, and the FES-K falls efficacy test to classify subjects as either at risk for falls or not. [Results] After comparing scores for visual perceptual skills, cognitive functioning, and fall efficacy, subjects at risk for falls showed significantly lower scores than did those not at risk. [Conclusion] The study found that there are significant differences in balance ability, visual perceptual skill, cognitive functioning, and fall efficacy between older adults at risk for falls and those not at risk.

show abstract

“…One application where robustness is a prerequisite is the automatic detection of falls of elderly people. Falls are a major source of injury for elderly people (Gallagher et al, 2001). In fact, about 30% of people aged 65 or above fall every year (Gillespie, 2004), and for people above 65 years of age, 80% of all injuries can be attributed to falls (Kannus et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Fusion of Color and Depth Camera Data for Robust Fall Detection

Josemans¹,

Englebienne

Kröse

2013

Proceedings of the International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

Abstract:The availability of cheap imaging sensors makes it possible to increase the robustness of vision-based alarm systems. This paper explores the benefit of data fusion in the application of fall detection. Falls are a common source of injury for elderly people and automatic fall detection is, therefore, an important development in automated home care. We first evaluate a skeleton-based classification method that uses the Microsoft Kinect as a sensor. Next, we evaluate an overhead camera-based method that looks at bounding ellipse features. Then, we fuse the data from these two methods by validating the skeleton tracked by the Kinect. Data fusion proves beneficial, since the data fusion approach outperforms the other methods.

show abstract

A fall prevention program for the home environment

Cited by 41 publications

References 0 publications

The Effect of Vibrotactile Cuing on Recovery Strategies From a Treadmill-Induced Trip

The Effect of Vibrotactile Cuing on Recovery Strategies From a Treadmill-Induced Trip

Comparison of older adults’ visual perceptual skills, cognitive function, and fall efficacy according to fall risk in the elderly

Fusion of Color and Depth Camera Data for Robust Fall Detection

Contact Info

Product

Resources

About