首页|German Sport University Cologne Reports Findings in Machine Learning (Composite activity type and stride-specific energy expenditure estimation model for thigh- worn accelerometry)

German Sport University Cologne Reports Findings in Machine Learning (Composite activity type and stride-specific energy expenditure estimation model for thigh- worn accelerometry)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Cologne, Ger many, by NewsRx correspondents, research stated, “Accurately measuring energy ex penditure during physical activity outside of the laboratory is challenging, esp ecially on a large scale. Thigh-worn accelerometers have gained popularity due t o the possibility to accurately detect physical activity types.” Financial support for this research came from Deutsche Sporthochschule Koln (DSH S).

CologneGermanyEuropeCyborgsEmerg ing TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.19)