Human Activity Recognition Python Packages

actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

acti-motus

Python-powered activity detection algorithms that build upon Acti4, processing data from multiple accelerometers with a required thigh sensor.

paddledet

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

wsdp

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

wisense

WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.

spl-agent-engine

Anthropomorphic psychology engine built on SPL Pure Core V8.0 — deterministic emotion, trauma, memory, trust, and defense mechanisms.

py-sues

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

ppdet-notebook

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

sensing-dataset-protocol

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

ppdet

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

paddledetection-test

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.