https://github.com/tinycompositehar/lowcomputecompositeadlmodels
My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)
https://github.com/tinycompositehar/lowcomputecompositeadlmodels
adl composite-har har tensorflow tensorflow-lite tensorflow-lite-micro tinyml
Last synced: about 1 month ago
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My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)
- Host: GitHub
- URL: https://github.com/tinycompositehar/lowcomputecompositeadlmodels
- Owner: TinyCompositeHAR
- Created: 2024-09-26T23:34:51.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-19T01:57:29.000Z (over 1 year ago)
- Last Synced: 2025-04-08T15:49:21.925Z (about 1 year ago)
- Topics: adl, composite-har, har, tensorflow, tensorflow-lite, tensorflow-lite-micro, tinyml
- Language: C
- Homepage:
- Size: 164 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Low-Cost Low-Compute Composite ADL Recognition
Tools
This repository contains the trained, optimized, and converted tf models
to deploy them on [ESP32 S3 DEV KIT](https://docs.espressif.com/projects/esp-idf/en/stable/esp32s3/hw-reference/esp32s3/user-guide-devkitc-1.html)
for my CSE707 semester final project.
For inference on ESP32 and related setup, please [click here](https://github.com/TinyCompositeHAR/ESP32TFLiteCompositeHARModelDeployment).