Sökning: "skeleton pose estimation"

Hittade 5 uppsatser innehållade orden skeleton pose estimation.

  1. 1. Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Angelica Hjelm Gardner; [2022]
    Nyckelord :automated pain assessment; pain recognition; body movements; skeleton pose estimation; deep learning; neural networks;

    Sammanfattning : Automated pain assessment is emerging as an essential part of pain management in areas such as healthcare, rehabilitation, sports and fitness. These automated systems are based on machine learning applications and can provide reliable, objective and cost-effective benefits. LÄS MER

  3. 2. Unsupervised 3D Human Pose Estimation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sri Datta Budaraju; [2021]
    Nyckelord :Computer Vision; Projective Geometry; Deep Learning; Unsupervised Learning; 3D Human Pose Estimation; GAN; AutoEncoder; Hybrid Generative Model; Self Supervision;

    Sammanfattning : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. LÄS MER

  4. 3. Skeleton Tracking for Sports Using LiDAR Depth Camera

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Panagiotis Efstratiou; [2021]
    Nyckelord :Depth camera; Human pose estimation; Kinematics; Motion Capture; Skeletal tracking; Djupkamera; Uppskattning av mänsklig pose; Kinematik; Rörelseregistreringssystem; Skelettspårning;

    Sammanfattning : Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. LÄS MER

  5. 4. Real Time Gym Activity Detection using Monocular RGB Camera

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Mohammad Samer Alshatta; [2020]
    Nyckelord :ActivityDetection; RNN; GymActionDetection; PoseBasedActionDetection; DeepLearning; SkeletonBasedOnlineActionDetection;

    Sammanfattning : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. LÄS MER

  7. 5. Deep Neural Networks for Dynamic Visual Data

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Maria Priisalu; [2016]
    Nyckelord :Deep Learning; Human pose estimation; Human motion estimation; 3D reconstruction; Long Short-Term Memory LSTM ; Technology and Engineering;

    Sammanfattning : Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. LÄS MER