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8. Hold for 5-10 breaths. You should aim to hold the pose for 30 seconds to 1 minute on each side. When practicing the pose, it is important to hold the pose for a set amount of time. The existing yoga pose identification techniques focus more on deep neural network-based classification models, and most literature evaluated the classification rate using confusion matrix parameters. Engage your core muscles for increased stability and take deep breaths, feeling each breath go through your body from toes to head. Open your chest. Engage your core. True keypoints as the ground truth body joint is created using an open source image annotation tool named Makesense AI. Any neural network’s input source is considered an image or video frame in detecting the keypoints to estimate the human pose. The images or video frame information is often represented in pixel values demonstrated in CSV files. For the subsequent frames, RoI is derived from every previous frame, and the pose tracker model is applied to the respective frame for keypoints.

As shown in Fig. 4(B), the pose detector model only runs for the first frame and derives RoI for the video frame data. As shown in Fig. 4(A), the pose detector model can detect the human pose as the Region-of-Interest (RoI) from the static image or consisting of a video frame. The person’s face is the main target element to detect the pose speedily in the image and video. The Person Centric viewpoint is considered the keypoint position decided concerning the person’s view. An Observer Centric viewpoint is regarded as a keypoint position determined concerning the observer’s view (Fu, Zhang & Huang, 2015). The BlazePose is another human pose estimation model developed by Google and presented at CVPR 2020 as an on-device real-time body pose tracking model. Once the face is detected, the estimated position of the remaining part of the human body is carried out from the inspiration of Leonardo da Vinci’s Vitruvian Man approach.

The proposed approach objective is to detect the number of human body joints and analyze the human pose estimation accuracy using percentage of correct keypoints (PCK) and percentage of detected joints (PDJ) evaluation parameters. The test results are presented, measuring the accuracy of pose recognition that demonstrated body parts’ movement. Trejo and Yuan proposed recognition of yoga poses using Kinect (Trejo & Yuan, 2018). Kinect technology comprises a depth camera sensor (Shotton et al., 2012). The proposed interactive system recognizes six different yoga poses, with the accuracy of the pose being measured using the mean and deviation of the joint location of concerned body parts. In literature, different machine learning frameworks were adopted to detect body joints, including wearable sensor-based models (Wu et al., 2019; Puranik, Kanthi & Nayak, 2021), a Kinect model (Trejo & Yuan, 2018; Islam et al., 2017), OpenPose model (Cao et al., 2018), and computer vision-based models. An asana is a different kind of body posture or poses like "Sukhasana (easy pose)", "Naukasana (boat pose)", "Dhanurasana (bow pose)", "Bujangasana (Cobra pose)", etc. Asanas help to enhance body flexibility by lubricating the muscles, joints, ligaments, and other body parts. In the initial stage of human pose estimation, the percentage of corrected parts (PCP) is considered the evaluation parameter for pose estimation, which measures the accuracy of detected limbs (body parts).

Body joints are achieved using the OpenPose (Cao et al., 2018) approach, and 24 body joints are used to represent the complete human skeleton. However, the localization accuracy of body joints is not measured in the presented system. Another alternative to assess the yoga pose classification is based on joint detection accuracy parameters viz. Incorporating yoga into your routine can improve mental and emotional well-being. Come to seated on the carpet and open your legs a comfortable wide distance apart, where you can still sit tall from the sit bones to the crown of your head (feel free to put a folded blanket under your hips) and feel a stretch in your inner legs and hips. Stretch your torso and the arms. Exhale and as you exhale bend your upper torso from your hips and try to touch your ankle or let your head hanging. Don’t let your hip stick out on your standing leg. I simply let go of expectations. By cultivating mindfulness and present moment awareness, yoga promotes emotional balance and self-awareness, helping individuals to better manage negative thought patterns and behaviors.

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