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on the role of context length for feature extraction and sequence modeling in human activity recognition

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Due to the sequential structure of the data, two modeling components—feature extraction and sequence modeling for activity classification—are the main focus of the analysis of sensor readings in their temporal settings.

What do you understand by human activity recognition?

Human activity recognition (HAR) is the practice of applying Artificial Intelligence (AI) to recognize and name human actions from raw activity data collected from a variety of sources (so-called devices). Human Activity Recognition (HAR) has been a difficult issue, yet a solution is required. When combined with other technologies like the Internet of Things(IoT), it will be mostly used for healthcare and eldercare.

To know more about recognition, visit:

https://brainly.com/question/9311970

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