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Personal research profile

Research profile

The better we can quantify the human physical behaviour, the better we can understand it's relationship with relevant health outcomes.

Within my PhD, I am working on finding new methods to assess the human physical behaviour in free-living conditions which are highly accurate and easy-to-use.

I am using small-scale wearable sensors to measure the acceleration of the thigh. I apply signal processing techniques and machine learning algorithms to the acceleration data to create new data-driven models.

My research aims to create an algorithm to estimate energy expenditure during physical activities from the thigh acceleration data.

Education/Academic qualification

Ph.D. Exercise Science


M.Sc. Health Science


B.A. Sports and Exercise in Prevention and Therapy



Dive into the research topics where Claas Lendt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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