Prematch Emotions and Coping Styles of Martial Arts Athletes Based on Artificial Intelligence

The fluctuation of martial arts athletes before competition is easy to affect martial arts competition. Emotional stimulation helps martial arts athletes to play in the competition field and improve their on-the-sport coping skills. In this paper, we use artificial intelligence technology to analyze the precompetition emotions of martial arts athletes, make guidance for the precompetition situation of martial arts athletes, and give to-the-spot response guidance and suggestions. In this paper, the artificial intelligence MLR (multiple logistic regression) combined with the unsupervised LOF (local outlier factor) algorithm is used to realize the precompetition emotion analysis and on-the-spot response guidance for martial arts athletes. In addition, this paper takes a community martial arts team as the test object and verifies the method through practice feedback. Studies have shown that this method of analysis and guidance can effectively assess the emotions of martial arts athletes and take intervention, compared to the absence of sentiment analysis and on-the-sport guidance for martial arts athletes. Compared to the coach’s intuitive guidance, the interventions in this treatise speed up 65%. From the experimental subjects in this paper, athletes of the same level provide emotional guidance and suggestions for responding to emotional fluctuations. This can psychologically improve the efficiency of athletes by more than 35%. Therefore, the use of artificial intelligence analysis methods can effectively improve the emotional stability of martial arts athletes before the game, so that they can deal with all kinds of emergencies on the spot.

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A Study on Development of IoT Software Vulnerability (Using Fake Information) Response System based on Artificial Intelligence

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.33.18598 ◽

2018 ◽

Vol 7 (3.33) ◽

pp. 157

Author(s):

Jang Mook KANG ◽

Choel Hee YOON ◽

Jiho SHIN

Keyword(s):

Artificial Intelligence ◽

Intelligence Analysis ◽

Software Vulnerability ◽

Software Vulnerabilities ◽

Related Data ◽

Improper Use ◽

Artificial Intelligence Technology ◽

Universal Network ◽

Iot Devices ◽

Special Environment

The use of IoT devices such as wearable digital devices based on mobile devices is increasingly evident. In IoT-based environment, communication protocol of IoT category and lightweight special environment software are used instead of universal network configuration. Due to the operating structure of IoT, preparation of countermeasures to automatically analyze IoT software vulnerabilities based on artificial intelligence should be considered. Because of the rapid growth of IoT equipment and the expectation that there will be a sharp increase in the need to identify facts about vulnerabilities and improper use associated with IoT services naturally. It is necessary to apply artificial intelligence technology for classification and automatic collection and analysis of IoT vulnerabilities for wearable devices and smart home devices through artificial intelligence analysis technology. Sequentially, To acquire the data from the device, internal data and network data of the specified device after searching the protocol of the IoT device, it is possible to cope with IoT software vulnerability applying AI intelligence analysis method to related data. In this paper, we investigate software vulnerabilities in IoT environment and propose a technique to cope with ioT vulnerabilities through artificial intelligence.

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Martial Arts Routine Training Method Based on Artificial Intelligence and Big Data of Lactate Measurement

Journal of Healthcare Engineering ◽

10.1155/2021/5522899 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Qi Han ◽

Shenglu Huo ◽

Rui Li

Keyword(s):

Artificial Intelligence ◽

Martial Arts ◽

Measurement Data ◽

Technical Level ◽

Training Methods ◽

Lactate Measurement ◽

Competition Rules ◽

Artificial Intelligence Technology ◽

Systematic Training ◽

Load Intensity

As a traditional Chinese sport, competitive martial arts routines have a long history. The competition rules are the unified norms and standards formulated for sports competitions. They are a yardstick for referees to judge the technical level and competitive ability of athletes and an essential basis for coaches during training. In particular, the new rules increase the difficulty of martial arts routines training and score, improve the balance movement of various groups, highlight the action specifications, increase the proportion of the score, and strengthen the scoring measures for the performance level. Subsequently, this puts higher requirements for the exceptional technical level of routine athletes. Therefore, it is vital to formulate scientific martial arts systematic training methods. This paper considers the above problem and current popular artificial intelligence technology and constructs a neural network algorithm to solve it. In addition, since lactic acid is a good monitoring indicator of the training load intensity and effect of martial arts routine exercises, this article also considers extensive lactate measurement data to construct martial arts systematic training methods. Through simulations, our experimental verification and the obtained results demonstrate the effectiveness of the proposed algorithm.

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Are Individuals in Rorschach Nonpatient Samples Truly Psychologically Healthy?

Rorschachiana Journal of the International Society for the Rorschach ◽

10.1027/1192-5604/a000052 ◽

2015 ◽

Vol 36 (2) ◽

pp. 112-155 ◽

Cited By ~ 5

Author(s):

Anna Maria Rosso ◽

Andrea Camoirano ◽

Gabriele Schiaffino

Keyword(s):

Psychological Treatment ◽

Coping Styles ◽

Anxiety And Depression ◽

Future Research ◽

Extensive Form ◽

Community Needs ◽

Rorschach Comprehensive System ◽

Form Quality ◽

And Coping ◽

Rorschach Variables

Abstract. The aim of this study was to collect a Rorschach Comprehensive System (RCS) adult nonpatient sample from Italy using more stringent exclusion criteria and controlling for psychopathology, taking into account the methodological suggestions of Ritzler and Sciara (2008) . The authors hypothesized that: (a) adult nonpatient samples are not truly psychologically healthy, in that a high number of psychopathological symptoms are experienced by participants, particularly anxiety and depression, although they have never been in psychological treatment; (b) significant differences emerge between healthy and nonhealthy groups on Rorschach variables, particularly on CS psychopathological indexes; (c) RCS psychopathological indexes are significantly correlated in the expected direction with scores on psychopathological scales. The results confirmed the hypotheses, indicating the need to collect psychologically healthy samples in addition to normative and nonpatient samples. Because differences were found in the comparison between Exner’s sample (2007) and the healthy group in this study regarding form quality and coping styles, the authors suggest that future research should investigate the construct validity of ambitent style and culturally specific influences on form quality. Moreover, the Rorschach scientific community needs to have more extensive form quality tables, enriched with objects that are currently not included.

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