Instrumentation & Measurement Magazine 24-6 - 28

For future work, an area of improvement could be on the
type of feedback. For example, we could provide sound feedback
or mark the joints with different colors, such as red, if they
are not doing the exercises correctly. Haptics can help participants
who reported that they could not see the instructions on
their smartphone as they would still receive some feedback.
We can also use the system's information to try and model
users' performance using DL; this way, we can predict how
well users would perform a routine based on their past performances
and progress over time. It can help users be more
invested in the Digital Twin Coach.
References
[1] A. El Saddik, " Digital twins: the convergence of multimedia
technologies, " IEEE Multimed., vol. 25, no. 2, pp. 87-92, Apr. 2018.
[2] R. Martinez-Velazquez, R. Gamez, and A. E. Saddik, " Cardio
twin: a digital twin of the human heart running on the edge, " in
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1-6, Jun. 2019.
[3] A. El Saddik, F. Laamarti, and M. Alja'afreh, " The potential of
digital twins, " IEEE Instrum. Meas. Mag., vol. 24, no. 3, pp. 36-41,
May 2021.
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S. Grassini, " Instrumentation and measurement in medical,
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[5] L. I. Evseeva, O. D. Shipunova, E. G. Pozdeeva, I. R. Trostinskaya,
and V. V. Evseev, " Digital learning as a factor of professional
competitive growth, " in Digital Science 2019, T. Antipova and A.
Rocha, Eds., pp. 241-251. Cham, Switzerland: Springer, 2020.
[6] F. Laamarti, H. F. Badawi, Y. Ding, F. Arafsha, B. Hafidh, and
A. E. Saddik, " An ISO/IEEE 11073 standardized digital twin
framework for health and well-being in smart cities, " IEEE Access,
vol. 8, pp. 105950-105961, 2020.
[7] S. Zhang and Z. Li, " An identification algorithm for rigid athlete
numbers in sports video, " in Proc. 2014 4th
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Meas., Computer, Communication and Control, pp. 36-39, 2014.
[8] A. Toshev and C. Szegedy, " DeepPose: human pose estimation
via deep neural networks, " in Proc. 2014 IEEE Conf. Computer
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[9] A. Newell, K. Yang, and J. Deng, " Stacked hourglass networks for
human pose estimation, " in Proc. Computer Vision (ECCV) 2016,
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[10] Z. Cao, G. Hidalgo Martinez, T. Simon, S.-E. Wei, and Y. A. Sheikh,
" OpenPose: realtime multi-person 2D pose estimation using part
affinity fields, " IEEE Trans. Pattern Anal. Mach. Intell., p. 1, 2019.
[11] A. Kamel, B. Liu, P. Li, and B. Sheng, " An investigation of 3D
human pose estimation for learning tai chi: a human factor
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427-439, Mar. 2019.
[12] F. Hülsmann, J. P. Göpfert, B. Hammer, S. Kopp, and M. Botsch,
" Classification of motor errors to provide real-time feedback for
sports coaching in virtual reality - a case study in squats and tai
chi pushes, " Comput. Graph., vol. 76, pp. 47-59, Nov. 2018.
[13] M. Gochoo et al., " Novel IoT-based privacy-preserving yoga
posture recognition system using low-resolution infrared sensors
and deep learning, " IEEE Internet Things J., vol. 6, no. 4, pp.
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[14] P. Matos et al., " Smartphone recommendation system to prevent
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[15] A. G. Howard et al., " MobileNets: efficient convolutional neural
networks for mobile vision applications, " ArXiv170404861 Cs,
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Rogelio Gámez Díaz (rgame013@uottawa.ca) received the
M.Sc. degree in Computer Science from the University of
Ottawa, ON, Canada in 2021. He has several years of experience
in mobile and backend development using Microsoft
Technologies such as Xamarin and SQL Server. His research
interests are Smart Coaching, Pose Estimation, Machine
Learning and Digital Twins.
Fedwa Laamarti is currently a Part-time Professor at the
University of Ottawa, ON, Canada, where she received her
Ph.D. degree in electrical and computer engineering. She has
several years of experience in industry, in software design and
analysis. She is working on multiple research projects with
the Multimedia Communications Research Laboratory. Her
research interests include the Digital Twin for Health and Wellbeing,
Artificial Intelligence, and Serious Games.
Abdulmotaleb El Saddik (F'09) is Distinguished University
Professor at the University of Ottawa, ON, Canada. His
research focus is on the establishment of Digital Twins to facilitate
the well-being of citizens using AI, AR/VR and Tactile
Internet, hence allowing people to interact in real-time with
one another as well as with their digital representation. He is a
Fellow of the Royal Society of Canada, Fellow of the Engineering
Institute of Canada, Fellow of the Canadian Academy of
Engineers and Fellow of IEEE.
28
IEEE Instrumentation & Measurement Magazine
September 2021
http://arxiv.org/abs/1704.04861
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