A diffusion model for inertial based time series generation on scarce data availability to improve human activity recognition

• Published in: Scientific reports Vol. 15; no. 1; pp. 16841 - 15
• Main Authors: Oppel, Heiko, Munz, Michael
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.05.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1305; 639/705/117; Accelerometers; Accelerometry - methods; Adult; Algorithms; Classification; Datasets; Diffusion Model; Diffusion models; Female; Fourier transforms; Human Activities; Human activity recognition; Humanities and Social Sciences; Humans; Male; Movement - physiology; multidisciplinary; Science; Science (multidisciplinary); Sensors; Synthetisation; Time series; Diffusion Model; Synthetisation; Human activity recognition; Time series

The domain of human activity recognition is able to differentiate between human movements based on sensory driven systems, e.g. in the form of an IMU. Though, in order to perform those differentiation tasks, a measurement setup has to be established and subjects have to be recorded. As this is a tim...