har

Using CNN with autoencoder features for smartphone-based Human Activity Recognition in real use case scenarios. (Final project for Human Data Analytics class at UNIPD).

university-project

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Jupyter Notebook Language

68.9 SrcLog Score

Cost to Build

$195.8K

Market Value

$107.8K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the lparolari/har GitHub project? Description: "Using CNN with autoencoder features for smartphone-based Human Activity Recognition in real use case scenarios. (Final project for Human Data Analytics class at UNIPD).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/lparolari/har.git

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