GitHub - dbalabka/shl-activity-recognition-2021: The goal of this year edition is to recognize 8 modes of locomotion and transportation (activities) in a user-independent manner based on radio-data, including GPS reception, GPS location, Wifi reception and GSM cell tower scans. This is different from the previous three years that aimed at transportation mode recognition from the motion sensors.

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The goal of this year edition is to recognize 8 modes of locomotion and transportation (activities) in a user-independent manner based on radio-data, including GPS reception, GPS location, Wifi reception and GSM cell tower scans. This is different from the previous three years that aimed at transportation mode recognition from the motion sensors.

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Name		Name	Last commit message	Last commit date
Latest commit History 175 Commits
additional_data		additional_data
model		model
notebooks		notebooks
shl		shl
sql		sql
.editorconfig		.editorconfig
.env.dist		.env.dist
.gitignore		.gitignore
README.md		README.md
poetry.lock		poetry.lock
poetry.toml		poetry.toml
pyproject.toml		pyproject.toml

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Technical report: https://dl.acm.org/doi/10.1145/3460418.3479377

Dmitry Balabka
Twitter: @dmitrybalabka
Email: dmitrybalabka@gmail.com

Denys Shkliarenko
Email: shkliarenko@gmail.com

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The goal of this year edition is to recognize 8 modes of locomotion and transportation (activities) in a user-independent manner based on radio-data, including GPS reception, GPS location, Wifi reception and GSM cell tower scans. This is different from the previous three years that aimed at transportation mode recognition from the motion sensors.

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