Edit StudentProjectForm: Human Motion Analysis 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)

Give a concise project description. Include:

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

Background: In recent years, technological advancements in inertial sensors have made them miniature, low-powered, durable, inexpensive and highly mobile leading to the development of ambulatory and wearable systems. These systems are either being used as stand-alone devices or are integrated into smart phones and smart watches in order to collect humans’ motion data from their daily life. While many algorithms that assess this motion data have been developed from accelerometers, others have been developed using gyroscopes. However, it remains to be investigated which of the two is more appropriate for real-world applications. Project Description: The goal of this project is to collect accelerometer and gyroscope data from real-world experiments and implement state of the art algorithms on the collected signals. The results shall be compared and evaluated to present which is the better sensor for real-world applications. 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: The suggested project could be specified in the following work packages: WP1 Collecting human motion data in indoor and outdoor environments. WP2 Implementing state of the art algorithms on the collected data. WP3 Comparing, evaluating and presenting the results.

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Edit StudentProjectForm: Human Motion Analysis using Inertial Sensors

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