Investigation of fall-risk using a wearable device with accelerometers and rate gyroscopes

Giansanti, Daniele

doi:10.1088/0967-3334/27/11/003

Cited by 64 publications

(53 citation statements)

References 24 publications

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“…The height of the CoM was estimated as 57% of total height for males, and 55% for females [11]. This is equivalent to just below the waist at the navel on all participants [12]. The SHIMMER accelerometer was attached to each participant at this point.…”

Section: A) Test Protocolmentioning

confidence: 99%

Estimation of force during vertical jumps using body fixed accelerometers

Howard¹,

Conway²,

Harrison³

2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

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Abstract-a method of estimating force using an accelerometer is presented. This model is based on estimating the resultant acceleration of a body at its centre of mass using a triaxial accelerometer. A data set of ground reaction forces are gathered using a force platform, which is used as the control for this experiment. Signal processing techniques for resampling the accelerometer signals, along with a method of cross correlation to align the force platform and accelerometer traces are used. The purpose of this study was to compare force calculated using accelerometer data from the SHIMMER device, with force platform data on counter movement and drop jumps, for use in sports biomechanics. The method was validated using twelve physically active adults who performed 5 counter movement jumps and 5 drop jumps from a height of 0.30 m. An accelerometer was attached near the participant's centre of mass and simultaneous force and acceleration data were obtained for the jumps.Minimum eccentric force and peak concentric force were calculated concurrently for countermovement jumps and peak landing forces were calculated concurrently for drop jumps. The results showed moderate to low levels of agreement in forces and a consistent systematic bias between the results from the force platform and accelerometer. However, good agreement between the accelerometer and force platform was observed during the eccentric phase of the countermovement jump.

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Section: A) Test Protocolmentioning

confidence: 99%

Estimation of force during vertical jumps using body fixed accelerometers

Howard¹,

Conway²,

Harrison³

2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

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“…The gyroscope signal doesn't have the influence of gravity acceleration, which in turn happens on accelerometer data [52]. Giansanti (2006) has used a wearable device with three mono-axial accelerometers 29 Background and Literature Review P1 represents the beginning of tilt down and PD represents postural transition duration time from P1 until the end of the tilt back (P2). Source: [52].…”

Section: Recent Studies On Fall Risk Predictionmentioning

confidence: 99%

“…From these data, they extracted several parameters, and, through classification techniques, they discriminated the older people with high fall risk [54]. As already perceived by the referred studies, the use of parameters while performing different activities are used to detect the risk of falling, discriminating those at no risk and at risk.…”

Section: Recent Studies On Fall Risk Predictionmentioning

confidence: 99%

Phone Based Fall Risk Prediction

Guimar�ães

Teixeira

Monteiro

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Falls in older people can represent serious individual and socioeconomic problems. With the increasing number of older people in the population, management of falls is becoming a challenge.It is now recognized that several risk factors for falling can be identified, and specific interventions can be designed in order to reduce those risks. Several tools were then developed and are now available to screen for fall risk. However, these tools are applied with low frequency, usually requiring the use of expensive equipments that can only be manipulated by experts. This poses some constraints on the prevention of falls, since when these techniques are applied, it can be too late.In order to improve the earlier detection of risks and the application of fall prevention strategies, new community based solutions must be developed. In this project, the mobile phone was purposed as a potential instrument to perform fall risk screening. Several strategies were then evaluated to be adapted to the phone for fall risk screening purposes.Phone's inertial sensors were used to extract some parameters of gait that were related with an increased risk of falling. Foot contacts, gait phases, step length, step duration, walking velocity and variability parameters could then be determined from sensors data. Acceptable measures of step length and walking velocity could be obtained. Additionally, other risk factors were selected to be assessed by self-report, using some clinical scales/questionnaires.Results suggest that phone can be used as a major strategy to improve fall prevention, being a great value for older persons and society.i ii ResumoUma queda num idoso pode resultar em graves problemas individuais e socioeconómicos. Com o aumento do número de idosos na população, a gestão de quedas está a tornar-se um desafio.Actualmente, é possível identificar vários factores de risco para a ocorrência de quedas bem como reduzir esses riscos, através da aplicação da aplicação de intervenções especí-ficas. Nesse sentido, há já algumas ferramentas actualmente disponíveis para avaliar o risco de queda. Estas ferramentas no entanto usadas com baixa frequência, exigindo o uso de equipamentos caros que apenas podem ser manipulados por pessoas qualificadas. Muitas vezes, estas técnicas podem já ser aplicadas tarde demais.Para que a detecção dos riscos e a aplicação de estratégias de prevenção de quedas possa ser feita mais precocemente, é necessário o desenvolvimento de novas soluções dirigidas à população. Neste projecto, foi proposto o uso do telemóvel para a detecção do risco de queda nos idosos.Os sinais dos sensores do telemóvel foram utilizados para extrair parâmetros da marcha relacionados com um risco de queda aumentado. A partir deles, os contactos do pé com o chão, as fases da marcha, o tamanho e duração dos passos, a velocidade e parâmetros que quantificam a variabilidade da marcha puderam ser determinados. Medidas aceitáveis do tamanho dos passos e da velocidade foram obtidas. Adicionalmente, outros factores de risco foram sele...

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“…it is possible to distinguish between slow normal or fast walking simply looking at the signal magnitude end or its second derivate (Mühlsteff, Such et al 2004). Moreover, rapid gradient changes and fast transients in the signal are useful for posture assessment and free fall recognition that are clearly useful in tele-medicine and home-care (Strath, Brage et al 2005;Bifulco, Gargiulo et al 2007;Giansanti 2007). Measuring the acceleration, theoretically would be possible to calculate the velocity and then the position as function of the time, however, in order to calculate velocity and time two initial condition are needed.…”

Section: Physical Activity Monitoringmentioning

confidence: 99%