Table 1 Reviewed Works in Yoga Pose Recognition
From: Automated identification of Shankha Prakshalana yoga poses with machine learning techniques
Ref. | Year | Features Extracted | Models Used | Application |
|---|---|---|---|---|
2019 | Poselet conditioned pictorial structures | Poselet conditioned pictorial structures | Human pose estimation | |
2020 | Object detection features | YOLO V4 | Object detection in yoga postures | |
2018 | Multi-person pose features | Part affinity fields | Multi-person yoga pose estimation | |
2019 | Pose estimation from image sensor data | Improved convolutional pose machines | Human pose estimation using image sensor data | |
2017 | 3D pose estimation features | Robust 3D human poses from a single image | 3D human pose estimation | |
2016 | Pose recognition from depth images | Real-time human pose recognition in parts from single depth images | Yoga pose recognition | |
2014 | Depth and joint relationship features | Articulated Pose Estimation Models | 3D human pose estimation | |
2017 | Part affinity fields | Convolutional Pose Networks | Real-time human pose estimation | |
2019 | Spatial-temporal features | Temporal Convolutional Networks | Real-time yoga recognition | |
2019 | Object detection features | Improved YOLO-V3 models for object detection | Object detection in agriculture and surveillance |
