#Human-activity-recognition

PaddlePaddle

PaddleDetection

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

guillaume-chevalier

LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

markdregan

K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

emadeldeen24

TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Unity-Technologies

PeopleSansPeople

Unity's privacy-preserving human-centric synthetic data generator

cruiseresearchgroup

SensorLLM

[EMNLP 2025] Official implementation of "SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition"

ani8897

Human-Activity-Recognition

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

markub3327

HAR-Transformer

Transformer for Human Activity Recognition

Aneapiy

Swift-HAR

Human activity recognition on iOS using Swift, CoreMotion, and NeuralNet.

ni79ls

har-keras-coreml

Jupyter Notebook for Human Activity Recognition (HAR) with Keras and CoreML