Fall detection algorithm for the elderly using acceleration sensors on the shoes

Sim, Soo Young; Jeon, Hee Jung; Chung, Gih Sung; Kim, S. K.; Kwon, Soon Jae; Lee, W. K.; Park, K. S.

doi:10.1109/iembs.2011.6091223

Cited by 52 publications

(37 citation statements)

References 7 publications

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“…Accelerometer is the common sensing element across all the systems used in this field as seen in Table 5. Otis et al [102] and Sim et al [103] have used relatively high sampling frequencies, with Otis et al using 1000 Hz, though the reports did not substantiate the use.…”

Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 97%

“…In that system, usage of microphone data along with accelerometer was novel. On the other hand, Sim et al [103] system's 81.5% sensitivity is considerably low given the severity of misclassification.…”

Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 99%

“…Otis et al [102] have come up with an efficient home-based falling risk assessment test using a smartphone and instrumented insole. Sim et al [103] have worked on a fall detection algorithm for the elderly using acceleration sensors on the shoes. Majumder et al have implemented a real-time smartshoe and smartphone-based fall risk prediction and prevention system [104].…”

Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 99%

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A Comparative Review of Footwear-Based Wearable Systems

2016

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Abstract:Footwear is an integral part of daily life. Embedding sensors and electronics in footwear for various different applications started more than two decades ago. This review article summarizes the developments in the field of footwear-based wearable sensors and systems. The electronics, sensing technologies, data transmission, and data processing methodologies of such wearable systems are all principally dependent on the target application. Hence, the article describes key application scenarios utilizing footwear-based systems with critical discussion on their merits. The reviewed application scenarios include gait monitoring, plantar pressure measurement, posture and activity classification, body weight and energy expenditure estimation, biofeedback, navigation, and fall risk applications. In addition, energy harvesting from the footwear is also considered for review. The article also attempts to shed light on some of the most recent developments in the field along with the future work required to advance the field.

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Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 97%

Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 99%

Section: Fall Risk Assessment and Fall Detection Applicationsmentioning

confidence: 99%

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A Comparative Review of Footwear-Based Wearable Systems

2016

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“…As many of the falls detection systems use accelerometers attached to the torso, Sim et al (2011) went further to place accelerometers on shoes to detect falls in the elderly. The shoes were preferred to make the device easy to carry as it was perceived that the elderly would feel uncomfortable when banding a sensor on the chest every day.…”

Section: Accelerometers and Sensorsmentioning

confidence: 99%

Use of Information Technology for Falls Detection and Prevention in the Elderly

2014

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This research aims to clarify the arguments in the body of knowledge on IT use in fall prevention among the elderly, synthesize ideas to assist in the delivery of healthcare to prevent falls in older people and further add to the available body of knowledge. An extensive literature search was carried out and the information retrieved from the literature was synthesised into paragraphs using themes to structure the types of information technology used for falls prevention. The different modalities of IT used in falls prevention at the different places of care for each category were explored and inferences were drawn from the structured themes which summarized the major findings. The research found that there is potential ground for a wider use of the forms of IT used in falls prevention in the elderly in various settings and outlined the factors involved in this usage. With further refinements in larger studies, many of these forms of IT would be better explored and acceptance is likely guaranteed provided they are accessible and affordable. The need for IT use in fall prevention in the elderly is unavoidable with the trend in technology and the associated convenience. More work is needed to further define the effects of IT in falls prevention using larger prospective studies that will be more generalizable.

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“…Thanks to these alerts, caregivers can immediately react and avoid or at least reduce the risk of more serious injuries. Most of these systems rely on wearable sensors that leverage on the use of tri-axial accelerometers to monitor body motion and detect falls [21,156,170]. In addition to accelerometers, Doukas and Maglogiannis [48] collect and monitor sound data, combining it with movement data in order to detect falls of patients.…”

Section: Applications For Carementioning

confidence: 99%