We introduce: The team from Imperial College London

And last but not least - the third successful team in our challenge comes from the United Kingdom - more precisely Imperial College London. The team consist of Dr. Benny Lo, a Senior Lecturer and his PhD student Yingnan Sun with whom he was working together.

The team from Imperial College: Dr. Benny Lo (right) and Yingnan Sun (left), (Image: Raphaele D. Raupp)

How did you learn about the challenge and what did you think you first heard about the challenge?

>> We learnt about the challenge from a peer who works at FAU. When we first heard about the challenge, we found that it is a very challenging problem, but it could have great potential in pushing the sensing technology for clinical used.

How did you find your partners for working on a submission?

>> I worked with my student on this submission.

What knowledge and experience did you bring to the challenge?

>> I brought in my knowledge in sensing and visualization to the challenge.

What was your best experience during the challenge?

>> The best experience was working on a very tight deadline on a very challenging problem.

What are you looking forward to the most when you are coming to Erlangen?

>> I am looking forward to meet up the Erlangen team and the other competing teams.

How did you approach the problem?

>> From our experience, we understand that there are certain limitation of the inertial sensors and what we can get from the sensors mounted the shoes. In approaching the problem, we designed the visualization based on the constraints of the human joints and estimated the orientation of each joint angles from the sensor data.

How long did you work on the challenge? Were there special moments, like huge breakthroughs or moments  when you were thinking about giving up?

>> We worked on the challenge for about a week. There were many stressful moments throughout the development process.

What did you learn during the challenge?

>> I learnt that we could potentially do more on estimating the joint angles from a pair of sensors on the shoes.

How would you describe the topic of the challenge and your solution to a non-expert? What makes your solution special and probably helped you win?

>> We have developed a web-based 3D visualization system which can estimate and show the walking gait of a subject based on the data acquired from the inertial sensors mounted on the shoes.