human-activity-recognition

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

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

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

Identifying reasons for human actions in lifestyle vlogs.