A More Efficient Transportable and Scalable System for Real-Time Activities and Exercises Recognition

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2018 Jan 19

PMID 29346286

Citations 3

Authors

Kevin Chapron

Valere Plantevin

Florentin Thullier

Kevin Bouchard

Elise Duchesne

Sebastien Gaboury

Affiliations

Soon will be listed here.

Abstract

Many people in the world are affected by muscle wasting, especially the population hits by myotonic dystrophy type 1 (DM1). Those people are usually given a program of multiple physical exercises to do. While DM1 and many other people have difficulties attending commercial centers to realize their program, a solution is to develop such a program completable at home. To this end, we developed a portable system that patients could bring home. This prototype is an improved version of the previous one using Wi-Fi, as this new prototype runs on BLE technology. This new prototype conceptualized induces great results.

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LIPSHOK: LIARA Portable Smart Home Kit.

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References

Mannini A, Intille S, Rosenberger M, Sabatini A, Haskell W . Activity recognition using a single accelerometer placed at the wrist or ankle. Med Sci Sports Exerc. 2013; 45(11):2193-203. PMC: 3795931. DOI: 10.1249/MSS.0b013e31829736d6. View

Mathieu J, Boivin H, Richards C . Quantitative motor assessment in myotonic dystrophy. Can J Neurol Sci. 2003; 30(2):129-36. DOI: 10.1017/s0317167100053397. View

Gao L, Bourke A, Nelson J . Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems. Med Eng Phys. 2014; 36(6):779-85. DOI: 10.1016/j.medengphy.2014.02.012. View

Gallais B, Montreuil M, Gargiulo M, Eymard B, Gagnon C, Laberge L . Prevalence and correlates of apathy in myotonic dystrophy type 1. BMC Neurol. 2015; 15:148. PMC: 4546188. DOI: 10.1186/s12883-015-0401-6. View

Ellis K, Godbole S, Kerr J, Lanckriet G . Multi-sensor physical activity recognition in free-living. Proc ACM Int Conf Ubiquitous Comput. 2015; 2014:431-440. PMC: 4523301. DOI: 10.1145/2638728.2641673. View

Cleland I, Kikhia B, Nugent C, Boytsov A, Hallberg J, Synnes K . Optimal placement of accelerometers for the detection of everyday activities. Sensors (Basel). 2013; 13(7):9183-200. PMC: 3758644. DOI: 10.3390/s130709183. View

Gagnon C, Mathieu J, Jean S, Laberge L, Perron M, Veillette S . Predictors of disrupted social participation in myotonic dystrophy type 1. Arch Phys Med Rehabil. 2008; 89(7):1246-55. DOI: 10.1016/j.apmr.2007.10.049. View

Larsson L, Grimby G, Karlsson J . Muscle strength and speed of movement in relation to age and muscle morphology. J Appl Physiol Respir Environ Exerc Physiol. 1979; 46(3):451-6. DOI: 10.1152/jappl.1979.46.3.451. View

Gupta P, Dallas T . Feature selection and activity recognition system using a single triaxial accelerometer. IEEE Trans Biomed Eng. 2014; 61(6):1780-6. DOI: 10.1109/TBME.2014.2307069. View

10.

Krishnan N, Cook D . Activity Recognition on Streaming Sensor Data. Pervasive Mob Comput. 2014; 10(Pt B):138-154. PMC: 3979570. DOI: 10.1016/j.pmcj.2012.07.003. View

11.

Khan A, Lee Y, Lee S, Kim T . A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer. IEEE Trans Inf Technol Biomed. 2010; 14(5):1166-72. DOI: 10.1109/TITB.2010.2051955. View

12.

Bussmann J, Martens W, Tulen J, Schasfoort F, Stam H . Measuring daily behavior using ambulatory accelerometry: the Activity Monitor. Behav Res Methods Instrum Comput. 2001; 33(3):349-56. DOI: 10.3758/bf03195388. View

13.

Bouchard G, Roy R, Declos M, Mathieu J, Kouladjian K . Origin and diffusion of the myotonic dystrophy gene in the Saguenay region (Quebec). Can J Neurol Sci. 1989; 16(1):119-22. DOI: 10.1017/s0317167100028651. View