Raspoznavanje ljudskog pada korištenjem inercijskog senzora i barometrijskog visinomjera

undergraduate thesis

• Title (english): Human fall detection using inertial sensor and barometric altimeter
• Author: Monika Hušnjak
• Mentor: Ratko Magjarević (mentor)
• Committee member: Ratko Magjarević (predsjednik povjerenstva)
• Committee member: Davorin Ambruš (član povjerenstva)
• Committee member: Krunoslav Jurčić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Centralna ideja ovog rada bila je pronaći najuspješniji algoritam detekcije pada, što je ostvareno provođenjem linearne interpolacije nad lokalnim minimumima i maksimumima signala uz aproksimaciju trenutka pada uporabom maksimalnog AVM-a. Navedeni podaci snimljeni su uređajem Shimmer3. Za potrebe pronalaska istraživanja potrebno je bilo prilagoditi parametre filtra, red i graničnu frekvenciju, kako bi bili u skladu sa zahtjevima algoritama. Korištenje Python biblioteka NumPy, Scipy i pandas, specijaliziranih za prikaz signala i statističku obradu podataka, uvelike je olakšalo kreiranje algoritama i dolazak do ispravnog rješenja.

Abstract (english)

The central idea of this study was to find the most successful fall detection algorithm, which was achieved by conducting linear interpolation on the local minima and maxima of the signal while approximating the moment of the fall using the maximum AVM (acceleration vector magnitude). The mentioned data was recorded using the Shimmer3 device. For the purposes of this research, it was necessary to adjust the parameters of the filter, such as order and cutoff frequency, to align them with the requirements of the algorithms. The use of Python libraries such as NumPy, Scipy, and pandas, specialized in signal visualization and statistical data processing, greatly facilitated the creation of algorithms and the attainment of the correct solution.

• Keywords: filtriranje signala; detekcija pada; red filtra; granična frekvencija; deriviranje signala; linearna interpolacija
• Keywords (english): signal filtering; fall detection; filter order; cutoff frequency; signal derivative; linear interpolation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:185018
• 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: 2023-10-11 09:04:14