Edit StudentProjectForm: Analyzing Human Motion using Inertial Sensors

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Summary:	MANDATORY: (provide a one-line* summary of the project)*
Programme:	OPTIONAL: (Name and the number of credits)
Keywords:	OPTIONAL: (Give 4-5 keywords)
TimeFrame:	MANDATORY: (Indicate time for the project, for example, Fall 2024)
References:	J. Rueterbories, E. G. Spaich, B. Larsen, and O. K. Andersen, “Methods for gait event detection and analysis in ambulatory systems,” Med. Eng. & Phys., vol. 32, no. 6, pp. 545–552, 2010. J. J. Kavanagh and H. B. Menz, “Accelerometry: A technique for quantifying movement patterns during walking,” Gait & Posture, vol. 28, no. 1, pp. 1–15, 2008. D. Lai, R. Begg, and M. Palaniswami, “Computational intelligence in gait research: A perspective on current app. And future challenges,” Info. Tech. in Biomed., IEEE Trans. on, vol. 13, no. 5, pp. 687–702, 2009. OPTIONAL: (Give 2-3 references for students to start with)
Prerequisites:	Background in signal analysis and programming are required. Interest in inertial sensors is a bonus. OPTIONAL: (Courses, any other important information)
Supervisor(s):	MANDATORY: (can be multiple names, coma-separated)
Examiner:	OPTIONAL: (Name of project Examiner)
Author(s):	OPTIONAL: (can be multiple names, coma-separated)
Level:	MANDATORY: choose one, preferably <Master>
Status:	MANDATORY: choose <Open> when the topic is ready for students to select

Project description (free text)

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Research question
Whether it’s more software or hardware related
A very brief description of 3-4 work packages
Deliverables/outcomes/results

Background: Human walking (gait) consists of three primary components: locomotion, balance and ability to adapt to the environment. Measuring fundamental gait events of Heel-Strike (when the heel of the foot strikes the ground) and Toe-Off (when the toe leaves the ground) is of vital importance in diagnosis and assessment of gait disorders. Many industrial applications such as functional electrical simulation systems, orthotics, etc. require accurately measuring these events in real-time. Moreover, continuous monitoring of these events can help in assessing the human body’s response to drug therapy making it extremely valuable for the drug industry. Project Description: The goal of this project is to develop an algorithm that can detect gait events of HS and TO from accelerometers positioned at different parts of the body. As this is a highly active research area right now, there is a high probability of this project leading to a research publication in a reputed conference or journal. Activity Plan: WP1 Study state of the art algorithms for gait event detection from different body parts. WP2 Develop an algorithm using accelerometers positioned at different parts of the body and validate it on real-world data.

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Edit StudentProjectForm: Analyzing Human Motion using Inertial Sensors

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