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Article

Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics

1
Computer Aided Integrated Systems Laboratory, SPIIRAS, St. Petersburg 199178, Russia
2
Information Technology and Programming Faculty, ITMO University, St. Petersburg 197101, Russia
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(7), 111; https://doi.org/10.3390/fi12070111
Received: 17 May 2020 / Revised: 17 June 2020 / Accepted: 23 June 2020 / Published: 1 July 2020
(This article belongs to the Special Issue Recent Advances of Machine Learning Techniques on Smartphones)
This paper presents a study related to human psychophysiological activity estimation based on a smartphone camera and sensors. In recent years, awareness of the human body, as well as human mental states, has become more and more popular. Yoga and meditation practices have moved from the east to Europe, the USA, Russia, and other countries, and there are a lot of people who are interested in them. However, recently, people have tried the practice but would prefer an objective assessment. We propose to apply the modern methods of computer vision, pattern recognition, competence management, and dynamic motivation to estimate the quality of the meditation process and provide the users with objective information about their practice. We propose an approach that covers the possibility of recognizing pictures of humans from a smartphone and utilizes wearable electronics to measure the user’s heart rate and motions. We propose a model that allows building meditation estimation scores based on these parameters. Moreover, we propose a meditation expert network through which users can find the coach that is most appropriate for him/her. Finally, we propose the dynamic motivation model, which encourages people to perform the practice every day. View Full-Text
Keywords: meditation estimation; neural networks; human behavior patterns meditation estimation; neural networks; human behavior patterns
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MDPI and ACS Style

Kashevnik, A.; Kruglov, M.; Lashkov, I.; Teslya, N.; Mikhailova, P.; Ripachev, E.; Malutin, V.; Saveliev, N.; Ryabchikov, I. Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics. Future Internet 2020, 12, 111. https://doi.org/10.3390/fi12070111

AMA Style

Kashevnik A, Kruglov M, Lashkov I, Teslya N, Mikhailova P, Ripachev E, Malutin V, Saveliev N, Ryabchikov I. Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics. Future Internet. 2020; 12(7):111. https://doi.org/10.3390/fi12070111

Chicago/Turabian Style

Kashevnik, Alexey, Mikhail Kruglov, Igor Lashkov, Nikolay Teslya, Polina Mikhailova, Evgeny Ripachev, Vladislav Malutin, Nikita Saveliev, and Igor Ryabchikov. 2020. "Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics" Future Internet 12, no. 7: 111. https://doi.org/10.3390/fi12070111

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