Activity monitoring system using Dynamic Time Warping for the elderly and disabled people

Paiyarom, Sasiwan; Tungamchit, Poj; Keinprasit, Rachaporn; Kayasith, Prakasith

doi:10.1109/ic4.2009.4909158

Cited by 20 publications

(10 citation statements)

References 9 publications

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“…For example, Najafi et al [ 102 ] developed a method based on wavelet transform, in conjunction with a simple kinematics model, to detect postures and transitions using only one kinematic sensor (consisting of a 1D gyro, and two 2D accelerometers) attached to the chest, while Reference [ 103 ] adopted two 2D accelerometers attached to thigh and sternum to achieve an accuracy in detecting static postures of 92% via an inclination-based thresholding algorithm. Other approaches included a Dynamic Time Warping (DTW) method applied in [ 104 ] using a 3D accelerometer attached on the user’s waist and showing 91% accuracy in recognizing the movements, while a binary tree algorithm was shown in Reference [ 105 ] with a similar set-up. An interesting algorithm was described in Reference [ 106 ] where a combination of different neural networks, and linear discriminant analysis were used to recognize activities in senior citizens with an average accuracy of 94% and without requesting a firm attachment of the sensing device on the body, which could be regardless worn on the front/rear trouser pockets, chest pockets and the inner jacket.…”

Section: Wearables For Senior Citizens: Related Work and Limitatimentioning

confidence: 99%

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

Tedesco

Barton

O’Flynn

2017

Sensors

109

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The objective assessment of physical activity levels through wearable inertial-based motion detectors for the automatic, continuous and long-term monitoring of people in free-living environments is a well-known research area in the literature. However, their application to older adults can present particular constraints. This paper reviews the adoption of wearable devices in senior citizens by describing various researches for monitoring physical activity indicators, such as energy expenditure, posture transitions, activity classification, fall detection and prediction, gait and balance analysis, also by adopting consumer-grade fitness trackers with the associated limitations regarding acceptability. This review also describes and compares existing commercial products encompassing activity trackers tailored for older adults, thus providing a comprehensive outlook of the status of commercially available motion tracking systems. Finally, the impact of wearable devices on life and health insurance companies, with a description of the potential benefits for the industry and the wearables market, was analyzed as an example of the potential emerging market drivers for such technology in the future.

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Section: Wearables For Senior Citizens: Related Work and Limitatimentioning

confidence: 99%

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

Tedesco

Barton

O’Flynn

2017

Sensors

109

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“…There are systems that use specific hardware [ 10 – 12 ], whereas others use general purpose hardware [ 7 , 13 , 14 ]. Obviously, the use of generic hardware, as smartphones, is a benefit to users, because the cost of such devices and their versatility are assets in their favor.…”

Section: Introductionmentioning

confidence: 99%

Low Energy Physical Activity Recognition System on Smartphones

Morillo

Abril

Ramírez

et al. 2015

Sensors

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An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition of activities performed by users using as little energy as possible. To this end, an innovative discretization and classification technique is presented based on the χ2 distribution. Furthermore, the entire recognition process is executed on the smartphone, which determines not only the activity performed, but also the frequency at which it is carried out. These techniques and the new classification system presented reduce energy consumption caused by the activity monitoring system. The energy saved increases smartphone usage time to more than 27 h without recharging while maintaining accuracy.

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“…In this work a method based on Dynamic Time Warping (DTW) is applied for time alignment of transition phases using a single 3-axis gyroscope mounted on the lower back of the person. Similar techniques were recently employed for scenarios of a general activity classification [11,12].…”

Section: Introductionmentioning

confidence: 99%

TUG Test Instrumentation for Parkinson’s disease patients using Inertial Sensors and Dynamic Time Warping

Adame

Al-Jawad

Romanovas

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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The Timed Up and Go (TUG) test is a clinical tool widely used to evaluate balance and mobility, e.g. in Parkinson's disease (PD). This test includes a sequence of functional activities, namely: sit-to-stand, 3-meters walk, 180° turning, walk back, and turn-to-sit. The work introduces a new method to instrument the TUG test using a wearable inertial sensor unit (DynaPort Hybrid, McRoberts B.V., NL) attached on the lower back of the person. It builds on Dynamic Time Warping (DTW) for detection and duration assessment of associated state transitions. An automatic assessment to substitute a manual evaluation with visual observation and a stopwatch is aimed at to gain objective information about the patients. The algorithm was tested on data of 10 healthy individuals and 20 patients with Parkinson's disease (10 patients for early and late disease phases respectively). The algorithm successfully extracted the time information of the sit-to-stand, turn and turn-to-sit transitions.

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Activity monitoring system using Dynamic Time Warping for the elderly and disabled people

Cited by 20 publications

References 9 publications

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

Low Energy Physical Activity Recognition System on Smartphones

TUG Test Instrumentation for Parkinson’s disease patients using Inertial Sensors and Dynamic Time Warping

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