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Project in collabartion with CENSIS to add a machine learning model to a ESP32 Board with a microphone to idenify noise in a household to assist someone who is independantly living and send alerts to a carer/family member using a web UI

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kylethmas/ActivityMonitor

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SH19 Activty Monitor

Project developed for CENSIS

Decription

A machine learning algorithm on the ESP32 Board to enable categorisation of local noise sources. CENSIS anticipate two potential use cases for this project. The first being activity in common areas for social housing, the second being activity in houses to assist with independent living.

Instructions for the sensor files and the web UI can be found in the README in the repsective folders.

Authors

  • Mingyang Chen
  • Civan Dogan
  • Ashraf Kasibante
  • Jiarui Li
  • Thomas Mathieson
  • Kyle Thomas

License

GNU GPL

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Project in collabartion with CENSIS to add a machine learning model to a ESP32 Board with a microphone to idenify noise in a household to assist someone who is independantly living and send alerts to a carer/family member using a web UI

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License

GPL-3.0, GPL-3.0 licenses found

Licenses found

GPL-3.0
LICENSE
GPL-3.0
COPYING

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