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online_initialization_for_vils icon online_initialization_for_vils

This is the presentation page for project: Online Initialization for Monocular Visual-Inertial-LiDAR Systems with Extrinsic Calibration and Software Time Synchronization

posture-and-fall-detection-system-using-3d-motion-sensors icon posture-and-fall-detection-system-using-3d-motion-sensors

This work presents a supervised learning approach for training a posture detection classifier, and implementing a fall detection system using the posture classification results as inputs with a Microsoft Kinect v2 sensor. The Kinect v2 skeleton tracking provides 3D depth coordinates for 25 body parts. We use these depth coordinates to extract seven features consisting of the height of the subject and six angles between certain body parts. These features are then fed into a fully connected neural network that outputs one of three considered postures for the subject: standing, sitting, or lying down. An average classification rate of over 99.30% for all three postures was achieved on test data consisting of multiple subjects where the subjects were not even facing the Kinect depth camera most of the time and were located in different locations. These results show the feasibility to classify human postures with the proposed setup independently of the location of the subject in the room and orientation to the 3D sensor.

residual_pose icon residual_pose

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation

yolov8_ros_tensorrt- icon yolov8_ros_tensorrt-

This is a YOLOv8 project based on ROS implementation, where YOLOv8 uses Tensorrt acceleration.

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