Mjerenje intenziteta dnevne fizičke aktivnosti pomoću senzorskog čvora

undergraduate thesis

• Title (english): Measurement of daily physical activities intensity by a sensor node
• Author: Andrea Soldo
• Mentor: Ratko Magjarević (mentor)
• Committee member: Ratko Magjarević (predsjednik povjerenstva)
• Committee member: Tihomir Marjanović (član povjerenstva)
• Committee member: Luka Celić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-09-04, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu opisane su metode određivanja intenziteta čovjekove fizičke aktivnosti i detekcije pojedinih vrsti gibanja kao što su hodanje, stajanje i ostale slične aktivnosti koje čovjek obavlja na dnevnoj bazi. Za prikupljanje podataka korišteni su troosni akcelerometar i žiroskop. Analizom signala i uz to korištenjem već postojećih metoda kreirani su algoritmi klasifikacije signala. Algoritam za mjerenje intenziteta i algoritam za razlikovanje signala niskog intenziteta (sjedenje, ležanje i stajanje) uspješno su implementirani i testirani na uzorku od 10 ispitanika. Za razlikovanje signala srednjeg intenziteta (hodanje, penjanje i spuštanje po stepenicama) kreiran je algoritam za koji možemo reći da pruža samo djelomično rješenje zbog velikih pogrešaka.

Abstract (english)

This paper describes methods for measuring intensity of human activity and for detection of different activity patterns such as walking, standing and other kinds of daily activities. Triaxial accelerometer and gyroscope were used for data collecting. Algorithms for signal classification were created using signal analysis and methods that are already available. Methods for intensity measurement and detection of different low intensity signals (sitting, lying and standing) were succesfully implemented and tested on signals recorded on 10 examinees. Algorithm for detection of different mild intensity signals (walking, climbing up and down the stairs) is provided but is considered only as a partial solution. It doesn't represent a valid solution because of low accuracy rate.

• Keywords: troosni akcelerometar; SMA; dnevna fizička aktivnost; intenzitet aktivnosti; vrste gibanja; detekcija gibanja; penjanje stepenicama; spuštanje stepenicama
• Keywords (english): triaxial accelerometer; SMA; physical activity; activity intensity; activity patterns; activity detection; climbing up stairs; climbing down stairs
• Language: croatian
• URN:NBN: urn:nbn:hr:168:492322
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-05 17:55:38