ArticlePeerJ. Computer science2021
Detection of sitting posture using hierarchical image composition and deep learning.
Article in PeerJ. Computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- LAViTSPose: A Lightweight Cascaded Framework for Robust Sitting Posture Recognition via Detection- Segmentation-Classification.Entropy (Basel, Switzerland) · 2025Article
- An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education.Biomimetics (Basel, Switzerland) · 2025Article
- Exploiting the features of deep residual network with SVM classifier for human posture recognition.PloS one · 2024Article
- Posture monitoring in healthcare: a systematic mapping study and taxonomy.Medical & biological engineering & computing · 2023Review
- Optically Non-Contact Cross-Country Skiing Action Recognition Based on Key-Point Collaborative Estimation and Motion Feature Extraction.Sensors (Basel, Switzerland) · 2023Article
- A fine-tuned YOLOv5 deep learning approach for real-time house number detection.PeerJ. Computer science · 2023Article
- Article
- YoNet: A Neural Network for Yoga Pose Classification.SN computer science · 2023Article
- Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images.Sensors (Basel, Switzerland) · 2022Article
- Authorized Traffic Controller Hand Gesture Recognition for Situation-Aware Autonomous Driving.Sensors (Basel, Switzerland) · 2021Article
- A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders.Sensors (Basel, Switzerland) · 2021Article
- HUMANNET-A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction.Sensors (Basel, Switzerland) · 2021Article
- Auto-Refining Reconstruction Algorithm for Recreation of Limited Angle Humanoid Depth Data.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human posture detection allows the capture of the kinematic parameters of the human body, which is important for many applications, such as assisted living, healthcare, physical exercising and rehabilitation. This task can greatly benefit from recent development in deep learning and computer vision. In this paper, we propose a novel deep recurrent hierarchical network (DRHN) model based on
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.