Article

Study on Temperature (τ) Variation for SimCLR based Activity Recognition

2021-07-09

Abstract excerpt

Human Activity Recognition (HAR) is a process to automatically detect human activities based on stream data generated from various sensors, including inertial sensors, physiological sensors, location sensors, cameras, time, and many others. Unsupervised contrastive learning has been excellent, while the contrastive loss mechanism is less studied. In this paper, we provide a temperature (τ) variance study affec...

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Literature Corpus work: abb55de3-e8d7-5959-8c45-4239ac21fc0f
DOI: 10.20944/preprints202107.0138.v2

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