# Deep Learning Models for Yoga Pose Monitoring
## 1 Introduction  
Recognizing human activity through computer vision has been an area of prime interest among researchers over several years, owing to its far-reaching applicability [1]. Human activity recognition has the potential to impact various domains such as robotics, human-computer interaction, gaming, video surveillance, biometric verification, chaos detection, sports monitoring, and health tracking among many others [2]. While multiple opportunities for implementing recognition systems have been explored throughout the years, its application in detecting yoga posture is considered a relatively new and under-researched field. Concretely, it holds the immense capacity to promote public health and welfare through the promotion of this ancient Indian practice, besides serving as an important milestone for researchers in the advancement in this sphere of activity recognition [3]. Activity recognition is the problem of predicting the movement of a person, based on sensor data or video sequences. It is a challenging computer vision problem that requires a lot of attention and improvement [1; 4]. It has many real-life applications like user interface design, robot learning, surveillance, etc. It also faces many challenges due to differencesin video quality, partial appearance, brightness, proximity, background noise, angle, and viewpoint, etc. Human activity recognition is of concern with yoga pose recognition [3]. Yoga is a form of exercise that is extremely helpful in reducing mental stress and keeping a person physically and mentally fit. Moreover, it improves concentration, focus, calmness, and blood circulation [5]. Yoga originated in ancient India and has now been adopted by countries all over the world. Yoke refers to yuiy in Sanskrit, a physical device that was used to join cattle. These devices were enormous, brute, and solid and were yoking long ago for war horses. Yoga was both the method and device to calm down the horses so that you could make them concentrate and perform well in the war [6]. Research shows that people who practice yoga daily have a positive mindset, an improved sense of energy to live a full life, and a good control over-breathing. The classic, Yoga Sutra, written by [PERSON] first described yoga philosophy and its practices [7]. Yoga, an ancient discipline that originated in India and was once local to the nation, is now becoming popular worldwide on account of its various physical, mental and spiritual benefits [5]. The increasing significance of yoga in medicine can be attributed to its extraordinary healing effects in a variety of conditions affecting the human body such as respiratory issues, cardiac aliments, musculoskeletal problems, and deep learning uses in healthcare [6; 7; 8]. However, a certain gap exists between the new generation and their understanding and awareness of the boons of yoga, leading to a host of health issues associated with today's rapid lifestyle that can be easily curbed by the adoption of yoga as a part of daily routine. One of the major factors leading to the misconceptions surrounding yoga, eventually contributing to people's unwillingness to incorporate it into their lives, is the unavailability of proper guidance. However, the growing innovation in technology brings up the possibility of addressing this inaccessibility to right tutoring through a real-time self-learning aid, capable of detecting various yoga postures by activity recognition tools, allowing it to serve as a convenient means of instruction, necessary to help popularize the form in the desired manner. Machine learning can be considered the study of algorithms that allows computer programs to automatically improve through experience. Specifically, machine learning algorithms build a model based on training data to make predictions or decisions without being explicitly programmed to do so. In recent years, a recent sub-field of machine learning has developed that is worth highlighting, entitled deep learning.