Use machine learning to achieve human activity recognition and counting function based on cell phone six-axis data. Achieve it on phone using ECS and WeChat mini-program.

The study of human activities has always incite researchers. The human actions are acquired from raw time-series signals using smartphones and wearable devices' integrated sensors. Human Activity ...

Machine learning research is heavily focused on human activity detection since it has various applications in a variety of fields, including security, entertainment, ambient supported living, and ...

Our research has highlighted the main steps in conceptualizing a deep learning-based human activity recognition classifier. We showed that our optimized Resnet was remarkably fit for this task and ...

These empirical results not only demonstrate that such a deep learning technique is semantically meaningful and superior to its handcrafted counterpart, but also provides a better understanding of the ...

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