Detection of falls using accelerometers and mobile phone technology

Lee, Raymond Y.W.; Carlisle, Alison

doi:10.1093/ageing/afr050

Cited by 133 publications

(87 citation statements)

References 25 publications

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“…In addition, a similar trend was observed in the pelvic movement treadmill walking at 5 km/h. Raymond et al 23) previously reported that as acceleration increased, the error between the built-in acceleration sensor of smartphone and a triaxial accelerometer tended to be large. They suggested that the operating range, the data processing method, the difference between the weight and inertia, and the accelerometer were responsible for the differences.…”

Section: Discussionmentioning

confidence: 99%

Validity and Reliability of the Kinematic Analysis of Trunk and Pelvis Movements Measured by Smartphones during Walking

et al. 2013

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Abstract.[Purpose] The purpose of this study was to investigate the reliability and validity of the kinematic analysis of trunk and pelvis movement during gait and standing as measured by two smartphones (in the present study, we used iPod touches because of their weight).[Methods] Thirty-eight healthy adults (mean age, 21.4 ± 1.2 years) were instructed to stand and walk on a treadmill at three different speeds. The tilt angle of the trunk and pelvis were measured using both an iPod touch and an optoelectronic motion capture system (Optotrak).[Results] The error between the iPod touch and Optotrak was small during standing and walking at low speed. However, as the walking speed was increased, the error between the iPod touch and Optotrak increased. There were no significant differences between the test and retest measurement values of each device, nor were there any significant differences between the days of the analyses.[Conclusions] The iPod touch has good accuracy, since the variations in the test and retest and for different days were small. This suggests that the iPod touch can be used instead of the Optotrak for the kinematic analysis of trunk and pelvis movement at low walking speeds.

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Section: Discussionmentioning

confidence: 99%

Validity and Reliability of the Kinematic Analysis of Trunk and Pelvis Movements Measured by Smartphones during Walking

et al. 2013

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“…Some placed the sensors on the head, waist, thigh, trunk, chest, and ankle. Researchers showed interest in using smartphones as fall detection system; since most of the wearable sensors are embedded in smartphones, and it has good cost effectiveness, usability and online time (availability and accessibility) [22].…”

Section: Rationalementioning

confidence: 99%

P1‐429: Adding Intelligence to a Floor‐Based Array Personnel Detector

Tyrer

Muheidat

2016

Alzheimer's & Dementia

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“…Another approach is to use signals acquired by accelerometers and gyroscopes [7]. To analyse these data, machine learning [10] and statistical methods [4] have been proposed.…”

Section: Introductionmentioning

confidence: 99%