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| Effect of Mobile and Smart Technology Application for Healthy Aging by Assessing Fuzzy Collaborative Intelligence Approach | |||||||
| Paper Id :
17123 Submission Date :
2023-02-09 Acceptance Date :
2023-02-22 Publication Date :
2023-02-25
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| Abstract |
People can reach this goal of leading healthy lives with the use of applications for mobile and cognitive technologies. Choosing a smart and suitable technological application for an active and healthy lifestyle may be difficult. In order to assess the practicality of a mobile and smart invention to solve this problem, this study developed a fuzzy collaborative intelligence (FCI) technique. The lack of applications in the athletic domains, earlier research on (AI) artificial intelligence in sports, and the practical number of interdisciplinary solutions, including fuzzy-logic techniques, were the driving forces for the current work. The names of the publishers, the year of publication, the primary objective of the study, system recommendations and output values, and lastly comments that provided insightful information about the research were used to identify all pertinent studies.
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| Keywords | Mobile, Smart Technology, healthy aging, Fuzzy logic, Evaluation, Compressive, Sports, Artificial Intelligence. | ||||||
| Introduction |
The second half of the 20th century saw the emergence of fuzzy theory. The foundations of fuzzy theory were created by Professor Zadeh in 1965, and since then, it has been applied in many different fields. The foundations of fuzzy set theory are infinite-valued logic and the "foggy" or "uncertain" limits of its sets. “Fuzzy theory has its historical roots in the second half of the 20th century. Professor Zadeh established its basics in 1965 and since then fuzzy theory has been applied in a variety of fields. Fuzzy set theory is based on the ‘foggy’ or ‘uncertain’ boundaries of its sets and on infinite-valued logic” (Hubáček, 2015). Another key advantage of fuzzy logic is its ability to manage both qualitative and quantitative variables is also a key feature of its application “A further significant advantage of fuzzy logic is that it can handle both the qualitative and quantitative factors, which is also an important aspect of its usage” (Laufer, 2016).
Apply engineering concepts to subject of exercise-science necessitates a methodical approach to the discipline's "basic principles" and "decision making process." It is possible to design a proper and systematic process engineering method based to information of exercise science using fuzzy-logic. “Applying engineering principles to the field of exercise science, requires a systematic perspective to "fundamental principles" and "decision making process" in this field. Using fuzzy logic, derive a systematic process engineering approach, which is based on knowledge of exercise science, can be achieved” (Arshi,2014). Measurements of physical prowess and technical proficiency were used to determine the weighting of the chosen criteria.“Measurements of physical fitness and technical skills were used to determine the weighting of the chosen criteria. Then the measured values were converted into fuzzy values using fuzzy sets. Finally, a ranking of players was generated and compared with the opinions of sports experts, which confirmed the reliability of the model” (Sałabun, 2020).
Over the past ten years, fuzzy-logic has shown to be a fantastic technique for intelligent systems in physical and physiological training. “In the past decade, fuzzy logic has proved to be wonderful tool for intelligent systems in physical training” (Zeng, 2022). Fuzzy comprehensive evaluation of college students' physical fitness is also useful for reasonable grouping and targeted training in physical education class, and has a good reference value for teaching, as well as being meaningful and popularized for scientific evaluation of students' physical fitness. “Fuzzy comprehensive evaluation of college students’ physical fitness is also helpful for reasonable grouping and targeted training in physical education class, which has a good reference value for teaching, and is meaningful and popularized for scientific evaluation of students’ physical fitness” (Zhenwen, 2021). The application of fuzzy logic added a new level of resilience and flexibility to the system. “The implementation of fuzzy logic introduced a new quality to the system regarding robustness and flexibility” (Papic, 2009).
It develops a seven-dimensional framework for analysing the industry's efficacy for sports and society based on prior studies. It uses a fuzzy analytic algorithm to accomplish this. “Model for evaluating the competitiveness of the sports and cultural industries that are based on a fuzzy analysis algorithm, and it builds a seven-dimensional sports and cultural industry competitiveness evaluation index system that is based on previous research” (Sun, 2022).
The second goals scored by the club team and the football team, respectively (see Attachment A), are manufactured using technology that supports the frameworks we'll use in terms of economics. Instead, in order to evaluate the performance of 20 virtual sports teams, we will utilise fuzzy logic to solve the DEA fuzzy models. “The economic-theoretical support of those models that we will use is the production technology of results pursuit to the soccer team in the soccer pitch (see Appendix A) and a second of the objectives for the football clubs. Instead, to measure sports performance, we will solve the DEA fuzzy models for a sample of 20 virtual soccer teams using fuzzy logic” (Pinto, 2020).
Fuzzy mathematics may be used to develop a fuzzy comprehensive assessment model, or this method can be used to thoroughly examine the sports tourist industry in Guangxi Province. “Use the method of fuzzy mathematics to construct a fuzzy comprehensive evaluation model and apply this model to objectively evaluate the sports tourism resources in Guangxi Province” (Qianying Li, 2022). A methodological foundation for the development and preservation of sports tourism goods may be found in the multilevel fuzzy comprehensive assessment of sports mass tourism, which may identify the low and high features of sports major tourist value. “Through multilevel fuzzy comprehensive evaluation of sports tourism resources, the high and low merits of sports tourism resources value can be discerned, providing a scientific basis for the development and protection of sports tourism resources” (Qianying Li, 2022).
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| Objective of study | 1. Artificial intelligence provides virtual reality intelligence technology which supports an online platform to people.
2. To provide PDA (personal digital assistant) and other wireless devices.
3. The sensor system, part of AI(Artificial intelligence) supports a new method for continuous monitoring of biological, behavioral, or environment data etc.
4. It offers a Mobile health application that has been provided with tests like diabetes control, depression treatment, hypertension control, mediation etc.
5. Mobile health system enables early identification of risks for age related functional decline and behavior changes.
6. It analyses the truth and uncertainty, accuracy of outcomes |
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| Review of Literature | The Artificial Intelligence Tool has undergone several
improvements and is now employing new ways to provide better outcomes. This
section provides a comparative study of several existing research that quickly
highlight some of the fuzzy logic, rule-based, and artificial neural network in
sports and games. Vladan Papic, Nenad Rogulj, and Vladimir Plestina, 2019
explored a fuzzy expert system for discovering and assessing new athletic
talents Based on the expertise of multiple human sport specialists and their
suitability for a predefined range of sports, several motoric skills tests,
morphometric feature assessments, and component testing are quantified. The
values gathered, as well as the grades for the quantifiable outcomes of each
exam, are recorded into the data base. Fuzzy logic is used to improve the
system's flexibility and durability. Because the entire system is web-based,
anyone with a valid login and password can access the created ASP.NET
application. The expert system predicted acceptance and recommended the best
sports for the individual being examined. Using genuine data collected over
several years, four professionals analysed the system's output results. J. A. Martínez, Y. J. Ko, and L. Martínez, 2010 proposed
a novel sport management approach, fuzzy, for calculating quality in the
context of fitness and sports services. This study demonstrated that fuzzy set
theory is an intriguing way for increasing the value of customer assessment
data. The developed approach reduces categorization and connection bias caused
by the link between numerical and verbal labels, so addressing the drawbacks of
third-person research. The benefits of this strategy are demonstrated through
an empirical analysis of two samples of users from two fitness centres. J. Jon Arockiaraj, and E. Barathi, 2014 presented Using
fuzzy logic, deduce the link between a sportsman's fear and motivation. Sports
include both physiological and social components. The athlete is seen to be
tense, worried, fearful, and stressed when competing in an event. Both
physiological and psychological elements have a significant impact on the
quality of the player's performance. Fuzzy logic can be utilised to find a
solution that will increase their motivation and reduce their worry. Mohammad Ebrahim Razaghi, 2014 Using fuzzy logic theory,
researchers evaluated the application of knowledge management from the
viewpoint of employees in Kerman (Iran) province's offices of youth and sport.
The "research Method" aims to investigate a statistical population of
a great number of people through a census and is descriptive and applied in
nature. The questionnaire by Chung et al. is titled "Data Measurement
Tool," but the word "outcome" suggests that knowledge management
implementation is subpar in the offices in question and that there is a sizable
gap between the actual and intended state of the factors influencing knowledge
management implementation. E. T.-Laufer, 2016 developed a paradigm for risk
assessment using fuzzy logic that may be tailored to specific needs dependent
on the conditions. The use and applicability of this flexible fuzzy logic-based
assessment model were demonstrated through the investigation of a case study
that assesses the amount of risk associated with diverse sporting activities
using physiological data as the input parameters. Bounit, 2016 proposed the evaluation of hygiene, safety,
and environmental risks is turning into a significant concern for businesses in
the field of security. It serves as a prerequisite for defining the approach
that will be used. The evaluation of risks' acceptability is hampered by the
ambiguity, uncertainty of the input parameters, disagreements among
decision-makers, and the absence of integrated models of overall hygienic,
safe, and environmental risk assessment. A comparison reveals that the
suggested model provides the best, most accurate, and exact outcomes when
compared to those of traditional approaches. Mostafa, 2018, studied in various systems, including
ambient assisted-living systems, autonomous agents are frequently utilized to
carry out activities in place of people. Autonomous agents frequently make
choices in these settings that result in bad results. Paper provides a
fuzzy-logic-based adjustable autonomy (FLAA) model in this study to control the
autonomy of multi-agent systems working in complicated contexts. This paradigm
tries to make it easier for agents to manage their autonomy and assist them in
making wise autonomous judgments. The test findings demonstrate that the FLAA
model enhances these agents' performance and accuracy in identifying and
preventing falls. Mohammadhossein Noori and Heydar Sadeghi, 2018 provided a
smart approach for identifying volleyball talent based on major and weighted
factors derived from an analytic hierarchy process of
physiological, biomechanical, anthropometrical, psychological,
biomechanical, and technical aspects using fuzzy logic. Anthropometric
measurements (upper extremity length and height), biomechanical measurements
(power and agility), psychological measurements (motivation and
self-confidence), and measurements of spike and serve are also included
(techniques). This method of talent assessment may be a useful and practical
strategy to choose young individuals who will become future volleyball stars. Simeon Ribagin and Spas Stavrev, 2019 advocated for using
data from university engaging students in sporting activities to analyse the
adequacy of tests completed using the Intercriteria Analysis approach the
results demonstrate that the test battery's measures are particularly
well-matched to assessing the children's early stage of physical and cognitive
progress. Glazkova Svetlana Sergeevna, Babina Yulia Sergeevna, and
Babina Yulia Sergeevna, 2019 created an economic analysis of corporation sports
and physical instruction Using fuzzy logic, the usefulness of the measures for
measuring the cost-effectiveness of helping to promote sports and physical
education was measured. Businesses may utilize the study's findings to
establish internal sports and physical education programmers. W. Sałabun, A. Shekhovtsov, D. Pamuˇcar, Jarosław W
atróbski, Bartłomiej Kizielewicz, Jakub Wi eckowski, D. Bozani´c, K. Urbaniak
and B. Nyczaj, 2020 introduced A multi-criteria concept was built to analysis
forward players based on their match statistics; for model identification,
Fuzzy triangular numbers, both symmetrical and asymmetrical, were utilized. The
COMET model's empirical findings were compared against arbitrary rankings like
Golden Ball and player value. Zhenwen Xu, and Yicong Zhang, 2021 examined the outcomes
of physical health exams administered to college students using the assessment
technique using fuzzy integrals. Few students have an exceptional to good
ratio, and most students' physical test results are in the passing range. The
fuzzy integrals-based fitness rating technique for college students offers some
generalizability and usefulness. Using the established index system and the
complete assessment model, all girls and boys in a class or institution may
have their overall fitness evaluated extensively. Min‑Chi Chiu, 2021 studied Living an active, healthy
lifestyle is essential in an ageing culture. Applications for mobile and
intelligent technologies can help people achieve this objective of healthy living.
Choosing a smart and suitable technology application for an active and healthy
lifestyle may be difficult. To get over this problem, a fuzzy collaborative
intelligence (FCI) approach was introduced in this study to examine the
suitability of a mobile and smart technology application. Designing a warm
atmosphere that enables seniors to age actively and healthily can benefit from
the study's findings. Fubin Wang and Qiong Huang, 2022 The function of sports
rehabilitation process in intensive exercises has been described and studied,
and the usage of sporting rehabilitation training in physical training has been
investigated. It outlines and explains the significance of physical
rehabilitation training and, gives resources for applying it. The role and, value
of inpatient rehabilitation training in sports preparation are discussed, as
well as an overview of the physical rehabilitation training scenario. G. Sun, X. Zhang, and Y. Lin, 2022 created a methodology
for monitoring the amount of competition in the industry and a way to judge its
strength The assessment strategy presented in this study is better to the
conventional evaluation method and has helped to expand China's wider sports
culture, according to the findings of the evaluation of the competitiveness of
the athletic culture business in various regions around China. Q. Li, D. Zhang, Y. Han, and Y. Xie developed Guangxi's
current rural sports tourist integration development initiatives offer
development remedies using macro, meso, and micro dimensions. It aims to
increase the fitness and leisure participation sports tourist industry, focus
on discoveries, fundamentally construct uniquely valuable sports tourism
resources, and appropriately set up and cultivate certain alluring tourism
industry goods. A fair evaluation of the sporting and tourist infrastructure in
Guangxi Province will be conducted using this evaluation technique. G. Smekal, A. Scharl, Serge P. von D. Rochus P., Arnold
Baca Æ Ramon Baron Harald Tschan, P. Hofmann, N. Bach the purpose of this study
was to determine how well incremental test data, using neuro-fuzzy logic and
linear regressions, could predict the energy output (P) of the maximum lactate
stable state (MLSS) on a cycle ergometer. Data gathered from various groups may
help in the creation of better, more attractive models that can be used by a
larger number of people. W. Zeng and J. Li established fuzzy theory and presented
fuzzy logic clustering approach in football team rating Within a given range,
factors alter, but the study demonstrates that our ranking result is dependable
and constant. Furthermore, our strategy is easily generalizable to the scenario
when N is an arbitrary positive integer and N teams exist.
Xiaojing Song discuss the application of data mining
techniques to the assessment of athletic performance. The association-rule
algorithm may transform the educational system's initial data into valuable
information and develop a relationship between performance, boosting
decision-making for the benefit of the students' physical level. |
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| Conclusion |
This review examines prior research on the effects of fuzzy logic-based scoring in athletics. Finding research gaps in the area of fuzzy logic in sports was the review's main goal. In order to determine research needs, a variety of scientific articles published between 2009 and 2022 were specified and reviewed. To accomplish the goal of the study, all structured publications were catalogued according to the following criteria: author name, year of publication, method used to identify the application of fuzzy logic in the sports domain, main goal of the study, input and output variables of the system, and paper concluding remarks. The most important thing to keep in mind is that fuzzy logic is a powerful AI tool for judging excellent results and explaining ambiguity. Five applications of modern technology that are now widespread.
The applications and influence of fuzzy logic in the field of sports and games. Future research should consider using fuzzy expert systems to evaluate performance while assessing age and physical fitness. |
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