Human activity recognition enables technical systems to analyse human behaviour in various settings. For example, it can be directly used to support the user in elder care, healthcare or training ...

Recognition of human activities has become more critical in recent years. Practical approaches for classifying physical activities are becoming required in the scientific community, and such models ...

Contrastive Learning (SimCLR) for Human Activity Recognition - iantangc/ContrastiveLearningHAR. Skip to content. Navigation Menu ... and a slight improvement upon previous state-of-the-art ...

Better yet, the machine learning model described their behavior (and the underlying activation of sound-processing neurons in the brain) perfectly. As a next step, the researchers are translating the ...

Improving Human Activity Recognition through Self-training with Unlabeled Data - iantangc/SelfHAR. Skip to content. ... Machine learning and deep learning have shown great promise in mobile sensing ...

Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions ...