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Cloud-based Mobile System for Free-Living Gait Analysis: System component : Server architecture
Högskolan i Halmstad, Akademin för informationsteknologi.
Högskolan i Halmstad, Akademin för informationsteknologi.
2017 (engelsk)Independent thesis Basic level (university diploma), 10 poäng / 15 hpOppgave
Abstract [en]

Progress in the fields of wearable sensor technologies together with specialized analysis algorithms has enabled systems for gait analysis outside labs. An example of a wearable sensor is the accelerometer embedded in a typical smartphone. The goal was to propose a system design capable of hosting existing gait analysis algorithms in a cloud environment, and tailor the design as to deliver fast results with the ambition of reaching near real-time.   

The project identified a set of enabling technologies by examining existing systems for gait analysis; the technologies included cloud computing and WebSockets. The final system design is a hierarchical composition starting with a Linux VM running Node.js, which in turn connects to a database and hosts instances of the MatLab runtime. The results show the feasibility of mobile cloud based free-living gait analysis. The architectural design provides a solution to the critical problem of enabling existing algorithms to run in a cloud environment; and shows how  the graphical output of the native algorithm could be accurately reproduced in a web browser. The system can process a chunk of 1300 data points under 3 seconds for a client streaming at 128 Hz, while simultaneously streaming the real time signal.

sted, utgiver, år, opplag, sider
2017. , s. 62
Emneord [en]
gait, gait analysis, cloud, node.js, free-living gait
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-34293OAI: oai:DiVA.org:hh-34293DiVA, id: diva2:1113544
Fag / kurs
Computer science and engineering
Veileder
Examiner
Tilgjengelig fra: 2017-06-30 Laget: 2017-06-21 Sist oppdatert: 2017-06-30bibliografisk kontrollert

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