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Design data acquisition solution for smart clothing
The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing.
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 the 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 based on capacitive, resistive, or inductive sensors. Signals from these sensors are often acquired using benchtop LCR meters. However, it is crucial for our wearable applications to replace such solutions with portable and unobtrusive data acquisition methods. This project aims to design, develop, and test portable data acquisition systems for data recording from multiple capacitive sensors. This project will offer valuable experience in electronics, prototyping, embedded software, and cutting-edge wearable technologies.
**Your Profile**
- Background in electrical engineering, computer engineering, mechanical engineering, or related fields
- Prior experience with electronics and prototyping (printed circuit board, electronic circuit testing and troubleshooting, 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 the 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 based on capacitive, resistive, or inductive sensors. Signals from these sensors are often acquired using benchtop LCR meters. However, it is crucial for our wearable applications to replace such solutions with portable and unobtrusive data acquisition methods. This project aims to design, develop, and test portable data acquisition systems for data recording from multiple capacitive sensors. This project will offer valuable experience in electronics, prototyping, embedded software, and cutting-edge wearable technologies.
**Your Profile**
- Background in electrical engineering, computer engineering, mechanical engineering, or related fields
- Prior experience with electronics and prototyping (printed circuit board, electronic circuit testing and troubleshooting, or similar)
- Independent worker with critical thinking skills and problem solving skills
- Identify areas for improvement in current data acquisition solutions.
- Develop and test electronics and software for signal recording from capacitive sensors.
- Implement developed solutions into textile-based wearable technologies for movement monitoring.
- Identify areas for improvement in current data acquisition solutions. - Develop and test electronics and software for signal recording from capacitive sensors. - Implement developed solutions into textile-based wearable technologies for movement monitoring.
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").