Relevant bibliographies by topics / Media-Pipe Pose

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Media-Pipe Pose'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Media-Pipe Pose"

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Kumar, Mr P. S. Ganesh, Valiveti Hemasree, Vartha Thanuja, Shaik Bashi, and Varada Siva Kumar. "ENHANCED WEAPON DETECTION AND FACIAL RECOGNITION USING YOLOV8." Fuzzy Systems and Soft Computing 20, no. 01 (2025): 259–66. https://doi.org/10.36893/fssc.2025.v20n01.032.

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The provided implementation code integrates several computer vision and machine learning techniques to analyze after detecting the presence of persons and weapons in an image, utilizing pose estimation to further assess the relationship between detected persons and objects. It employs convolutional neural networks (CNNs), specifically a custom model for person detection, YOLOv8 (You Only Look Once version 8) for weapon detection. Then pose estimation is performed using the Media Pipe library, which helps in identifying human poses by locating key points on the person's figure depicted in the i
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Ratusaria, Rahul, Tushar Baghel, Ayush Chander Vanshi, and Neeraj Garg. "GYM REP TRACKER USING MEDIAPIPE AND PYTHON." International journal of multidisciplinary advanced scientific research and innovation 1, no. 10 (2021): 240–45. http://dx.doi.org/10.53633/ijmasri.2021.1.10.001.

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Human Pose estimation has grabbed the eye of the computer vision community for the past few decades. It is a vital step closer to knowledge people in pics and motion pictures. Strong articulations, small and hardly visible joints, occlusions, apparel, and lighting changes make it very difficult to perform estimate pose. Human Pose estimation is an important problem that needed to be study. It is used to detect human anatomical key points (e.g., shoulder, elbows, legs, wrist, etc.) in real time using less computational resources. There are many Artificial Intelligence models i.e, Posenet, OpenP
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Anushree, Ghate Bhavana Chambhare Gayatri Pahune Abhishek Niwalkar Chetan Dhale Deep Mankar. "Yoga Trainer Using Artificial Intelligence and Deep Learning." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 94–99. https://doi.org/10.5281/zenodo.15400983.

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Artificial Intelligence (AI) and deep learning have revolutionized human pose estimation and posture correction systems. This research introduces an AI-based Yoga Trainer system that leverages deep learning models to recognize and evaluate yoga postures while providing real-time feedback and corrections. The system employs Media-Pipe Pose for real-time human pose detection and extraction of body landmarks, focusing on key points such as the head, shoulders, elbows, hips, and knees. These extracted landmarks are processed using a Support Vector Classifier (SVC), implemented with scikit-learn&rs
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Abdul muthalib, Muchlis, Irfan Irfan, Kartika Kartika, and Selamat Meliala Selamat Meliala. "PENGIRAAN POSE MODEL MANUSIA PADA REPETISI KEBUGARAN AI PEMOGRAMAN PYTHON BERBASIS KOMPUTERISASI." INFOTECH journal 9, no. 1 (2023): 11–19. http://dx.doi.org/10.31949/infotech.v9i1.4233.

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Pandemic people don't have free access to Gym. The importance of keeping the body fit. This can be overcome with the Human Pose Estimation Computer Vision technique. Optimum and maximum distance testing data. Webcam detects movement and test data on AI Fitness Counter models. Human Pose Estimation detection data is taken when someone does fitness exercises such as pull ups, pushups, and lifting weights. Optimal webcam detects Human Pose Estimation model AI Fitness Counter is three meters. Every detail of the landmarks in the pose corresponds to the key points of each limb and the utility lines
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Rikhi, Vandit, and Vandit Rikhi. "Accelerating Precision: Using AI to Fine-Tune Workout Form and Motion Speed." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem36252.

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This is an extension of the paper that we published earlier on AI for workout Form Optimization. In the earlier paper, we presented a software solution for workout form optimization using joint angles. Just like the effectiveness of the workout is in the precision of the body form, it also gets hugely impacted by the workout speed, i.e., muscle contraction and relaxation speed. This paper covers a software solution that can be used to give users feedback on their workout speed for specific workout exercises. It uses computer vision and artificial intelligence libraries. The sample implementati
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Irfan, Irfan, and Muchlis Abdul Muthalib. "Implementation of Human Pose Estimation Using Angle Calculation Logic on The Elder of The Hands as A Fitness Repetition." International Journal of Engineering, Science and Information Technology 2, no. 4 (2022): 101–10. http://dx.doi.org/10.52088/ijesty.v2i4.346.

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Sport cannot be separated from everyday life. Sport is a hobby for every age group. Everyone needs exercise to keep the body healthy and fit. Many people are busy with their respective activities, so they need more time to exercise and go to the gym. Apart from having to adjust the time, People stuck at Home do not have free access to go the Gym during the global pandemic. This can be overcome by tracking people's movements virtually. Human Pose Estimation can track the movements being carried out by a person in time. Data collection in the form of optimal detection distance, Human Pose Estima
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Shin, Jungpil, Akitaka Matsuoka, Md Al Mehedi Hasan, and Azmain Yakin Srizon. "American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation." Sensors 21, no. 17 (2021): 5856. http://dx.doi.org/10.3390/s21175856.

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Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time. Previously, sensor-based approaches have obtained higher accuracy than vision-based approaches. Due to the cost-effectiveness of vision-based approaches, researchers have been conducted here also despite the accuracy drop. The purpose of this research is to recognize American sign characters using hand images obtained from a web camera. In this work, the media-pipe hands algorithm was used for
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KUMAR, R. REVANTH, and G. MANOJ KUMAR. "Personalized AI Workout Companion." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04853.

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Personalized ai workout companion is an intelligent offline fitness application designed to assist users in performing exercises correctly by providing real-time feedback and tracking their progress. Leveraging advanced computer vision techniques and pose estimation powered by MediaPipe, this system accurately detects and counts repetitions for various workouts such as squats, pushups, curis, jumping jacks, and crunches. Users can engage in personalized fitness sessions where the trainer monitors form and counts reps automatically, helping them stay motivated and avoid injuries caused by incor
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Vandit, Rikhi, and Rikhi Deepika. "Precision in Motion: AI for Workout form Optimization Using Joint Angles." Journal of Scientific and Engineering Research 11, no. 6 (2024): 166–67. https://doi.org/10.5281/zenodo.13918633.

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Physical workouts and exercises are most effective when the associated body part(s) are in specific form. The form is also essential for the safety of the workout. The body can be prone to various injuries if the form is not correct while doing the workout. This paper covers a software solution that can be used to get the user in the correct form by adjusting the joint angles between the body part(s) for specific workouts. It uses computer vision and artificial intelligence libraries. The sample implementation is provided on GitHub GitHub - pythonioncoder/Fit-Form-AI.
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Gawli, Swarangi, Ishan Ubale, and Sudha Damekar. "Personalized AI Dietitian and Fitness Trainer." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 142–46. http://dx.doi.org/10.22214/ijraset.2022.41188.

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Abstract: Exercising is the most important thing to live a healthy life. To be free from injuries and getting the most from our workout proper form of exercise is important. Doing too much repetition and over training can cause muscle soreness. Unendingly doing exercise incorrectly could eventually cause severe future injuries. The rest between the sets should be optimum depending on the repetition of the exercise, what muscle group is being trained and the load that is being put in the muscle. Maximum Muscle hypertrophy is achieved with the correct form of exercise. The goal of the project is
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Dissertations / Theses on the topic "Media-Pipe Pose"

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Louriou, Clément. "Modélisation instationnaire des transferts de masse et de chaleur au sein des évaporateurs capillaires." Thesis, Toulouse, INPT, 2010. http://www.theses.fr/2010INPT0083/document.

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Dans ce travail, nous nous intéressons à la dynamique de croissance d'une poche de vapeur par vaporisation en milieu poreux, en relation avec l'analyse des transferts couplés de masse et de chaleur dans les mèches poreuses des boucles fluides diphasiques à pompage capillaire. Nous proposons un modèle pour les régimes transitoires, régimes encore très mal compris en dépit de leur grande importance pratique (phase de démarrage, variations de puissance, etc.). Une approche de type "réseau de pores" est adoptée et permet de prédire la distribution des phases à l'échelle de l'espace des pores. Dans
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Book chapters on the topic "Media-Pipe Pose"

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Bhaggi, Ekta, Varsha Sahni, and Om Parkash Yadav. "Cutting-Edge Deep Learning Approaches for Human Pose Estimation and Activity Recognition in Smart Cities." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7883-0.ch005.

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Human Pose Estimation and Activity Recognition using deep learning are critical components for rising smart cities. These technologies influence convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to accurately perceive and track human postures and actions from video data. By automating the analysis of human behavior, they enhance urban security, improve traffic management, and enable intelligent healthcare monitoring. Various systems into smart city infrastructure can lead to safer, more responsive, and efficient urban spaces. In this paper, focus on implement an archite
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S, Srividya M., and Anala M. R. "Machine Learning Based Framework for Human Action Detection." In Data Science and Intelligent Computing Techniques. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-72.

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Understanding human actions has been an important area of computer vision based deep learning domain. Several landmark extraction frameworks like media pipe and open Pose are used to extract the landmark coordinates from the body. The proposed work leverages open-source body landmark extraction and then trains a deep learning model on custom dataset created. The proposed work classifies the human body actions into blank face, yawn, namaste, punch and kick actions. The dataset creation phase involved recording of actions corresponding to every class and flattening them into a data frame. The da
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Koottatep, Thammarat, Chawalit Chaiwong, Tatchai Pussayanavin, and Chongrak Polprasert. "Regenerative living walls for urban wastewater management and climate adaptation." In Nature-Based Solutions for Urban Sustainability. IWA Publishing, 2025. https://doi.org/10.2166/9781789065015_0119.

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Abstract Regenerative living walls offer an innovative solution for urban wastewater management and climate adaptation, particularly for the challenges posed by the inadequate sanitation infrastructure prevalent in developing countries such as Thailand, India and Cambodia. The absence of proper sanitation systems results in uncontrolled release of human wastes, including feces, urine, washing water, and cleansing fluids, into the environment. This not only causes environmental pollution, but also contributes to significant public health issues. In many developing countries, on-site wastewater
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Conference papers on the topic "Media-Pipe Pose"

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Woo Kim, Jong, Seo Yeong Mun, BoJeong Park, Younglim Choi, and Hyunseok Kim. "Posture Recognition-Based Robot Control Using Media Pipe Pose." In 2025 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2025. https://doi.org/10.1109/iceic64972.2025.10879681.

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Totlani, Ketan, Shiva S. Dhavala, S. Sandeep Kumar Vijayarao, Yagnesh Challagundla, B. Roy, and Eugenia R. Zhuo. "Real-Time Human Pose Estimation Using Media-Pipe an Artificial Intelligence Applications in Health and Fitness." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870725.

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Zhu, Xiangyang, and Abdullah H. Wadei. "Microbial Corrosion Diagnosis Using Molecular Microbiology Methods: Case Studies." In MPWT 2019. NACE International, 2019. https://doi.org/10.5006/mpwt19-14427.

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Abstract Microbiologically influenced corrosion (MIC) is one of the leading causes of equipment and pipeline failure in oil and gas industries. Cost-effective MIC management requires routine monitoring of microbial activities, periodic assessment of microbial risks in various operational systems, and accurate diagnosis of MIC failure. Traditionally, MIC diagnosis has been dependent on cultivation-based methods by inoculating liquid samples containing live bacteria into selective growth media, followed by incubation at a certain temperature for a pre-determined period of time. The conventional
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Rai, Deepak, Anjali, Ankit Kumar, and Anjali Baghel. "Pose Detection Using OpenCV and Media Pipe." In 2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S). IEEE, 2024. http://dx.doi.org/10.1109/icic3s61846.2024.10603040.

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Zhu, Hongfan, and Theodore Tran. "An Intelligent Mobile Application to Analyze Dance Movements and Provide Feedbacks using Media Pipe and OpenCV." In 5th International Conference on Artificial Intelligence and Big Data. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140406.

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Motion Mentor is a mobile application designed to address a challenge faced by beginner dancers in improving their dancing technique-the development of improper movements and habits when practicing without a teacher’s guidance. Therefore, Motion Mentor offers real-time posture correction and personalized feedback [5]. This method involves using the Mediapipen pose-detection AI model for real time posture detection, combined with advanced algorithms for accurate dance analysis, and Firebase for the storage of data and uploaded videos [6]. Users can access educational content, record their dance
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Ullah Khan, Imran, Sana Tahir, and Jong Weon Lee. "Android-based Indoor Physical Activities Detection and Monitoring System using Pose Estimation." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003671.

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In the last decade, innovation in the fitness and health industry has exponentially expanded, resulting in new devices like fitness trackers, calorie counters, diet planners, and running trackers. However, a large proportion of the population is elder people who need technical assistance to live their life healthy and independently. In order to progress the advancement in this research area, we concentrated on developing a mobile application that can recognize and assist human actions during exercise and store their records. In this study, a computer vision-based application is developed that
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Carbajal, Gerardo, and Alberto Vázquez Ramos. "Experimental Study of an Airfoil Heat Pipe Subjected to an Impingement of Hot Gases." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88645.

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An experimental study was performed to an airfoil heat pipe. The airfoil was subjected to a jet impingement of hot gases at the leading edge. The airfoil was also tested first with air and later with water as the working fluid. The experimental result shown that the heat pipe spread better the heat input from the leading edge at very high heat input rate than the air filled airfoil design. The case material was brass, the porous media was nickel foam with 1.70 mm thickness and average pore size of 590 × 10−6 m. Distilled water was used as the working fluid. The experimental data indicate the p
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Wang, Daigang, Yushan Ma, Kaoping Song, et al. "Phase-Field Modeling of Spontaneous Imbibition in Tight Porous Media." In SPE Reservoir Characterisation and Simulation Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212691-ms.

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Abstract Tight oil reservoirs generally have no natural productivity due to the influence of micro/nano pore structure. The horizontal well volume fracturing technique is widely used to achieve effective development of this type of reservoirs. The remaining oil in matrix pores is mainly produced by spontaneous imbibition in the actual soaking and flowback process. Due to the great limitation of observation scale, the traditional experimental testing methods cannot accurately characterize the distribution and production of remaining oil at nano-scale in tight oil reservoirs, the microscopic mec
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Quan, Lie, Yugao Ma, Xiao Liu, Shanfang Huang, and Kan Wang. "An Improved Multiphase Lattice Boltzmann Method Scheme for Large Density Ratio Simulation in Heat Pipe." In 2024 31st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/icone31-135207.

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Abstract Heat pipe reactor is a cutting-edge energy power technology for future deep space and deep sea exploration, its current bottleneck is the development of high performance heat pipe, and the wick structure is the key factor affecting the performance of heat pipe. To promote research on flow and heat transfer mechanism inside heat pipe, an improved scheme of Multiphase LBM is introduced, which not only eliminates error caused by inconsistency of discretization scheme of pressure term when introducing non-ideal gas equation of state, but also the cubic term error of velocity field in the
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Fullerton, Anne M., and Thomas C. Fu. "Pressure Gage Measurements in a Dry to Wet Environment." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78463.

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Pressure gages are used in many fluid measurements applications. One such application is the measurement of wave impact pressures on structures. This application poses a unique problem of measuring pressures in a “wet to dry” environment. Often there is a thermal drift component in the pressure readings that makes it difficult to extract the actual pressure rise due to wave loading. These types of measurements also require high response rates to measure the detail of the short duration impacts, usually on the order of one to twenty kilohertz. Several bench tests were carried out in at the Nava
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