Conduct human gait study with optical motion capture to assess smart clothing for movement monitoring

Movement monitoring is a rapidly growing field with many applications in healthcare and fitness. Current methods for activity monitoring mostly use camera-based motion tracking or inertial measurement unit-based systems that are limited in their measurement space or are obtrusive to the activities of the user. Smart clothing offers a solution that makes monitoring of biomechanics during individual and team sports possible in different conditions. We develop textile-based wearable technologies for unobtrusive monitoring of movement. Our textile-based technology has applications in both the fitness and healthcare industries. Some examples are fatigue detection, performance optimization, and remote rehabilitation. This project aims to validate the use of our developed technology for intended applications through conducting studies where the participants are monitored by our technology and state-of-the-art measurement systems such as optical motion capture at the same time. This project will offer valuable experience in electronics, prototyping, embedded software, and cutting-edge wearable technologies, as well as in conducting a study with people as participants. **Your Profile** - Background in health science, biomedical engineering, or related fields - Prior experience with healthcare or fitness studies, and data processing is preferred (rehabilitation protocols, statistical tests, or similar) - Independent worker with critical thinking skills and problem solving skills

Movement monitoring is a rapidly growing field with many applications in healthcare and fitness. Current methods for activity monitoring mostly use camera-based motion tracking or inertial measurement unit-based systems that are limited in their measurement space or are obtrusive to the activities of the user. Smart clothing offers a solution that makes monitoring of biomechanics during individual and team sports possible in different conditions.

We develop textile-based wearable technologies for unobtrusive monitoring of movement. Our textile-based technology has applications in both the fitness and healthcare industries. Some examples are fatigue detection, performance optimization, and remote rehabilitation. This project aims to validate the use of our developed technology for intended applications through conducting studies where the participants are monitored by our technology and state-of-the-art measurement systems such as optical motion capture at the same time. This project will offer valuable experience in electronics, prototyping, embedded software, and cutting-edge wearable technologies, as well as in conducting a study with people as participants.

**Your Profile**

- Background in health science, biomedical engineering, or related fields

- Prior experience with healthcare or fitness studies, and data processing is preferred (rehabilitation protocols, statistical tests, or similar)

- Independent worker with critical thinking skills and problem solving skills

- Determine best practice in certain rehabilitation programs and test the use and value of smart wearable devices for future remote analysis - Collect data from participants using our wearable technology and state-of-the-art measurement systems - Preliminary processing of data from the conducted study

- Determine best practice in certain rehabilitation programs and test the use and value of smart wearable devices for future remote analysis
- Collect data from participants using our wearable technology and state-of-the-art measurement systems
- Preliminary processing of data from the conducted study

Prof Dr Carlo Menon and Dr Chakaveh Ahmadizadeh will supervise the student and the research will be performed at the Biomedical and Mobile Health Technology lab (www.bmht.ethz.ch) at ETH Zurich, Switzerland. To apply, use the button below to tell us why you want to do this project ("motivation") along with the type of project you are applying for (e.g., master project or thesis) and your timeline for the project; attach a mini CV with your current program of study, your grades and any other info you deem relevant--maybe the name and phone number of a postdoc or a professor willing to be your reference; and make any further comments ("additional remarks").

Prof Dr Carlo Menon and Dr Chakaveh Ahmadizadeh will supervise the student and the research will be performed at the Biomedical and Mobile Health Technology lab (www.bmht.ethz.ch) at ETH Zurich, Switzerland.

To apply, use the button below to tell us why you want to do this project ("motivation") along with the type of project you are applying for (e.g., master project or thesis) and your timeline for the project; attach a mini CV with your current program of study, your grades and any other info you deem relevant--maybe the name and phone number of a postdoc or a professor willing to be your reference; and make any further comments ("additional remarks").