| Carbon Trainer [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://www.carbontrainer.com/order> (Year: 2022). |
| Carbon Trainer is the New Fitness Mirror Designed for Home Strength Training [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://manofmany.com/lifestyle/fitness/carbon-trainer-is-the-new-fitness-mirror-designed-for-home-strength-training> (Year: 2020). |
| Mirror Pro [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://www.mirror.co/shop/mirror-pro-cw?gclid=Cj0KCQiA_8OPBhDtARIsAKQu0gbPF_10mpXrPaHO2jCsfyA3fBWUHIJqwJe0AauAMn4sJiNHZkJImi8aAgltEALw_wcB> (Year: 2022). |
| International Search Report and Written Opinion for PCT/US2020/041860, filed Jul. 13, 2020, dated Sep. 28, 2020, 21 pgs. |
| Van Hooff, Nino, “Performance Assessment and Feedback of Fitness Exercises Using Smartphone Sensors”, Master Thesis, Jul. 2013, 55 pgs. |
| Runia, Tom et al., “Real-World Repetition Estimation by Div, Grad and Curl”, http://tomrunia.github.io/projects/repetition/, 2018, 5 pgs. |
| Guler, Riza et al., “DensePose: Dense Human Pose Estimation in the Wild”, http://densepose.org/, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018. |
| Dong, Junting, et al., “Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views”, https://arxiv.org/pdf/1901.04111.pdf, Jan. 14, 2019, 10 pgs. |
| “Weight Lifting”, https://vcl.iti.gr/weight-lifting/, Research, Motion Capturing and Analysis, Oct. 24, 2017, 3 pgs. |
| Omran, Mohamed, et al., “Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation”, https://paperswithcode.com/paper/neural-body-fitting-unifying-deep-learn2, Aug. 17, 2018, 13 pgs. |
| Cho, Youngjun, et al., “Instant Automated Inference of Perceived Mental Stress Through Smartphone PPG and Thermal Imaging”, https://arxiv.org/ftp/arxiv/papers/1901/1901.00449.pdf, Journal of Medical Internet Research/JMIR Mental Health—Special Issue on Computing and Mental Health, 2018, 24 pgs. |
| Zdziarski, Zbigniew, “Heart Rate Estimation Using Computer Vision—Zbigatron”, https://zbigatron.com/heart-rate-estimation-using-computer-vision/, Dec. 12, 2018, 5 pgs. |
| “Video Magnification”, http://people.csail.mit.edu/mrub/vidmag/, Jun. 2015, 4 pgs. |
| Pilz, Christian S., et al., “Local Group Invariance for Heart Rate Estimation From Face Videos in the Wild”, http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w27/Pilz_Local_Group_Invariance_CVPR_2018_paper.pdf, 2018, pp. 1367-1375. |
| Wang, Chen, et al., “A Comparative Survey of Methods for Remote Heart Rate Detection From Frontal Face Videos”, Frontiers in Bioengineering and Biotechnology, May 1, 2018, vol. 6, Article 33, 16 pgs. |
| Trivedi, Chintan, “Using Tensorflow Object Detection to Control First-Person Shooter Games”, Towards Data Science, Nov. 25, 2018, 6 pgs. |
| Jovanov, Goran, “Realtime Face Recognition in the Browser”, https://medium.com/@gjovanov/realtime-face-recognition-de1ee3076878, Jan. 10, 2019, 10 pgs. |
| Bhoi, Amlaan, “Spatio-Temporal Action Recognition: A Survey”, https://arxiv.org/pdf/1901.09403.pdf, Jan. 27, 2019, 15 pgs. |
| Pham, Huy-Hieu, et al., “Learning to Recognize 3D Human Action From A New Skeleton-Based Representation Using Deep Convolutional Neural Networks”, https://arxiv.org/pdf/1812.10550.pdf, IET Research Journals, Dec. 26, 2018, 11 pgs. |
| Fang, Hao-Shu, et al., “AlphaPose: Real-Time and Accurate Full-Body Multi-Person Pose Estimation & Tracking System”, https://github.com/MVIG-SJTU/AlphaPose, Accessed Oct. 15, 2020, 8 pgs. |
| “Open Source IMU and AHRS Algorithms”, https://x-io.co.uk/open-source-imu-and-ahrs-algorithms/, x-io Technologies, Posted Jul. 31, 2012, 2 pgs. |
| Brownlee, “Deep Learning Models for Human Activity Recognition,” Machine Learning Mastery, Sep. 26, 2018, retrieved from https://machinelearningmastery.com/deep-learning-models-for-human-act . . . on Jun. 24, 2020, 28 pgs. |
| Runia et al., “Repitition Estimation,” International Journal of Computer Vision, 2019, vol. 127, pp. 1361-1383. |