Project AURIONAI Use-Cases Research & Innovation
TinyML

ST human activity recognition models (st_gmp, st_ign)

CNN models that classify human activities from 3-axis accelerometer windows. Built for wearables on STM32 microcontrollers.

STMicroelectronicsSTMicroelectronicsSwitzerland
STMicroelectronics
Levelmodel
ClassTinyML
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onmicrocontroller
Statusactive

R&D Topics

TinyML on microcontrollersproduced by

Identity

Developer
STMicroelectronics
Family
not in the notes
Released
– sources
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
st_gmp uses global max pooling; st_ign is a modified Ignatov CNN. Window lengths 24 and 48 samples; trained on WISDM and an ST mobility dataset.
Context length
not in the notes
Input
sensor
Output
labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
microcontroller
Footprint
README benchmarks on B-U585I-IOT02A (STM32U5) and STM32L4.
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. github.com/STMicroelectronics/stm32ai-modelzoo/tree/main... https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition
  2. github.com/STMicroelectronics/stm32ai-modelzoo/tree/main... https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/st_gmp
  3. github.com/STMicroelectronics/stm32ai-modelzoo/tree/main... https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/st_ign

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ST Human Activity Recognition Models (St_gmp, St_ign)", https://aurion.semai.id/models/stmicroelectronics-har/, records of October 2026.