Home Fitness Research Articles

Retraction Note: Design of home fitness assistant system based on android mobile network and optical sensing system

Retraction Note: Design of home fitness assistant system based on android mobile network and optical sensing system

Different Interactive Feedback of Virtual Partners on Sports Motivation

In the post-epidemic era, virtual partners have become good helpers in home fitness. Previous studies have shown that different interactive feedback from virtual partners will have different effects on individual sports incentives, among which sports incentives objectively include the improvement of sports ability. In this research, the virtual partner's exercise companion experiment was carried out, and the exercise oxygen uptake was taken as the dependent variable, and the factorial experiment was carried out in 3 x 2 (with or without positive encouragement feedback), in which the positive encouragement feedback included goal-oriented encouragement and non-goal-oriented encouragement. It is found that both moderate negative feedback and positive encouraging feedback of virtual partners can improve individual exercise oxygen uptake, and moderate negative feedback is more effective.

Market Positioning Analysis of CJ Brand Fitness Equipment

CJ Health Technology Co. has been an export-oriented supplier of fitness equipment, boasting leading technology innovation and manufacturing capabilities. However, in the process of expanding into the domestic market, the challenges of unclear market positioning and lack of brand awareness have emerged as major obstacles. To address these issues, a SWOT analysis was conducted to explore a suitable market positioning strategy for the CJ brand. The analysis reveals that the market demand for commercial fitness equipment is relatively saturated, with fierce competition. In contrast, the home fitness market represents a new blue ocean with promising development opportunities for the CJ brand. Leveraging excellent product quality, stringent quality control measures, and innovation-driven cutting-edge technology, it is recommended that CJ brand fitness equipment target young customers aged between 25 and 35 years old. Additionally, vigorously developing the home fitness product line is proposed to capitalize on this burgeoning market segment.

RETRACTED ARTICLE: Design of home fitness assistant system based on android mobile network and optical sensing system

RETRACTED ARTICLE: Design of home fitness assistant system based on android mobile network and optical sensing system

Research on the Normalization of Home Fitness for Urban Residents—Taking Changsha City as an Example

Research on the Normalization of Home Fitness for Urban Residents—Taking Changsha City as an Example

Personalized Gym Trainer Using Mediapipe

Abstract: With the growing demand in personalised fitness experiences, this paper takes a fresh look at home workouts by creating a Personalised Gym Trainer with the Mediapipe library. This sophisticated device combines pose detection technology with voice assistance to provide users with real-time feedback and personalised instruction while exercising. The system identifies various exercises accurately and leverages torso point detection for greater precision by leveraging the capabilities of the Mediapipe library and OpenCV for camera tasks. Individual Python modules for certain workouts such as pull-ups and bench press are written to support a flexible and scalable solution. Python, Git, GitHub, and Jenkins are among the tools and technologies used in the process. Furthermore, the Findpose library is used to calculate angles between torso locations, resulting in Providing a quantitative assessment of proper posture. The suggested Personalised Gym Trainer is a promising leap in home fitness solutions, integrating cutting-edge pose detection with voice assistance for an interactive and personalised workout experience.

The transformation mechanism of fitness clubs: Pricing of joint fitness courses by online platforms and well-known coaches

As a consequence of the lockdown and quarantine measures during the COVID-19 pandemic, consumers engaged in home fitness by purchasing fitness courses online. Therefore, after the pandemic, the platform model has become a trend for transformation among fitness clubs to resist risks of uncertainty and expand the market for course sales. The cooperation between well-known coaches and online fitness platforms to achieve optimal pricing has gained attention in the process of transformation of fitness clubs from offline to online platforms. The platform model of fitness clubs can help online fitness platforms expand the dissemination of well-known coaches' courses and enhance the spillover effect of course popularity. We construct pricing decision models for both clubs and coaches by characterizing the consumer utility function of well-known coaches and online fitness platforms, the demand function for fitness courses in the market, and the revenue functions for clubs and coaches. We use the Shanghai Zhongtian Fitness Club in China as a case study to analyze pricing decision solutions and perform numerical experiments and sensitivity analyses on online course sales data obtained during the lockdown periods. The study found that the optimal prices for well-known coaches' courses and online fitness platforms increase with market size, indicating their ability to increase fitness course prices among potential consumers. Further, the profit level increases with market size, indicating that market expansion brings in more potential consumers and the profits gained by well-known coaches’ courses and online fitness platforms from potential consumers exceed the profits lost due to price increases; this results in an overall increase in profit level. We further conclude that online fitness platforms can use the platform pricing model of fitness clubs to transform and upgrade.

Has COVID-19 lowered physical activity practice while boosting online searches for professional exercise information?

COVID-19 is an infectious and contagious disease, caused by the SARS-CoV-2 virus. Due to the rapid spreading of the virus and its lethal consequences, the WHO declared a pandemic. One of the main strategies to treat and prevent the spreading was the stay home safe, a social isolation situation that was accompanied by the closing of fitness gyms, city parks and facilities proper to exercise. This context promoted an increase in home fitness programs and in the search for information online regarding exercise and health. So, the objective of this study was to understand the effects of the pandemic on physical activity behavior and online information search regarding exercise programs. Data collection was through a google forms questionnaire, all procedures were approved by the University ethics committee and we collected data from 1065 participants. Our results showed that the participants main behavior was maintained, 80.7% of our sample were active before the pandemic and only 9.7% of this group stopped being active. On the other hand we registered 7% of participants that started exercise after the pandemic installation. Information about exercise was searched outside social media by 49.6% of the participants with 32.5% using social media. 56.1% would look only for professional advice, interestingly 11.4% of the participants were active without any kind of advice. We concluded that Covid-19 pandemic installation affected negatively the population physical activity behavior and increased awareness about the importance of exercise as a health strategy.

Effects of Content Characteristics and Improvement in User Satisfaction on the Reuse of Home Fitness Application

As the global fitness industry rapidly digitalizes, home fitness applications have emerged as a convenient solution for people to exercise anytime, anywhere. This study investigated the mediation effect of exercise satisfaction on the relationship between content characteristics and continuance intention to use home fitness applications. This study provided guidance for developing effective home fitness applications by analyzing which content characteristics can increase the continuance intention to use home fitness applications. The mediation effect of exercise satisfaction on content characteristics and continuance intention to use was examined using a structural equation model analysis, and 330 survey responses from individuals who have used home fitness applications for exercise were analyzed. The results confirmed that the enhancement of the content characteristics exerted a positive effect on exercise satisfaction and continuance intention to use. Additionally, the enhancement of exercise satisfaction characteristics positively affected the continuance intention to use. Further, exercise satisfaction was observed to exert a significant mediating effect on the relationship between the content characteristics and continuance intention to use home fitness applications. These findings suggest that it is essential to devote significant attention to enhancing content characteristics and exercise satisfaction in the development of home fitness applications.

The Relationship Between Exercise Habits and Stress Among Individuals With Access to Internet-Connected Home Fitness Equipment: Single-Group Prospective Analysis.

Physical activity (PA) confers numerous benefits to health and health care costs, yet most adults are not meeting recommended PA guidelines. Stress may be a factor that influences PA behavior. Research investigating the impact of stress on PA has yielded inconsistent findings. Most studies find that stress negatively impacts PA, but there is some evidence that habitual exercising buffers this association. This study aims to examine the relationship between stress and exercise habits among habitual exercisers with internet-connected home fitness equipment (Peloton Bike) during the COVID-19 lockdown. Participants were recruited through Facebook (N=146) and asked to complete an internet-based survey that assessed COVID-19-related stressors, perceived stress associated with those stressors, and general perceived stress. Self-reported exercise was assessed on the survey using the Godin Leisure-time Exercise Questionnaire (GLTEQ). Participants were also asked for consent to access their Peloton usage data through the Peloton platform. From their usage data, the frequency and duration of cycling classes was calculated for 4 weeks prior to and 12 weeks following the survey. Hierarchical regression equations tested the association between stress reported on the survey and subsequent exercise participation. Exercise participation was quantified both as the frequency and duration of Peloton cycling over the 12 weeks following the survey and as self-reported moderate to vigorous activity on a second survey completed by a subset of participants 12 weeks after the initial survey. There were 146 participants in our Peloton analysis sample and 66 in the self-reported exercise analysis. Peloton user data showed that study participants cycled frequently (mean 5.9 times per week) in the month prior to the initial survey, and that presurvey Peloton use was a strong predictor of exercise frequency (R2=0.57; F2,143=95.27; P<.001) and duration (R2=0.58; F2,143=102.58; P<.001) for the 12 subsequent weeks. Self-reported overall exercise likewise showed that this sample was very active, with an average of more than 8 times per week of moderate to vigorous exercise at the initial survey. Self-reported exercise on the initial survey was a strong predictor of self-reported exercise 12 weeks later (R2=0.31; F1,64=29.03; P<.001). Perceived stress did not impact Peloton cycling duration or frequency (P=.81 and .76, respectively) or self-reported exercise (P=.28). The results suggest that stress did not negatively impact exercise participation among habitually active adults with access to internet-connected home fitness equipment. Habitual exercise may buffer the impact of stress on participation in regular moderate to vigorous activity. Future research should examine the role that the availability of home-based internet-connected exercise equipment may play in this buffering.

An app for finding Personal home fitness trainers

An app for finding Personal home fitness trainers

PESQUISA SOBRE O TREINO ESPORTIVO DOMICILIAR NA PROMOÇÃO DA SAÚDE FÍSICA EM ESTUDANTES UNIVERSITÁRIOS

ABSTRACT Introduction Physical education classes in universities have migrated to online teaching aiming to reduce the risk of infection under epidemic prevention and control normalization. However, the impact of home-based physical training on the physical health of university students is not complete because the home-based physical training program could not be adjusted in a timely manner. Objective Analyze the current situation of home-based sports training and its effect on the health of college students. Methods A questionnaire has been employed in order to analyze the current situation of home-based sports training. Sixty individuals were selected, distributed into experimental (n=30) and control group (n=30). The control group was without specific physical training while the experimental group received online monitoring from physical education teachers to perform sports training at home, three times a week, one hour a day, for a total of two months. Pre- and post-training changes were compared by in-person fitness tests. Results were contrasted via Excel and SPSS. Results Home fitness training can be accomplished in many ways, with the virtual physical education class being a primary option. The results of the influence of home-based physical training on changes in physical function of University students are considerable (P &lt; 0.05). Conclusion Through comparison of fitness test results, home-based physical training was found to have a beneficial effect on the physical performance of college students and can be safely replicated in institutions. Level of evidence II; Therapeutic studies: investigation of treatment outcomes.

A home fitness satisfaction model for Chinese residents during the COVID-19 pandemic based on SEM analysis.

In response to the COVID-19 epidemic, China proposes to take this epidemic as an opportunity to further cultivate residents' healthy living habits and meet their demand for healthy living. Based on relevant research reviews and theoretical analysis, the concept model of home fitness satisfaction for Chinese residents is constructed. The research hypothesis is tested by SEM, and the conceptual model is modified. Finally, the model of home fitness satisfaction for Chinese residents is obtained. The results show that during the epidemic period, Chinese residents' enthusiasm for home fitness remains unchanged, online services provide powerful social support, and the home fitness environment still has an enhanced space.

Importance of National Fitness Sports Relying on Virtual Reality Technology in the Development of Sports Economy.

With the rapid development of the national economy and the improvement of people's living standards, physical fitness and health have attracted people's attention and become an important topic in people's daily life. Virtual reality technology is a new technology that uses computer to build virtual environment, belonging to simulation technology, which is an extremely important direction in this field. This paper aims to study the importance of the national fitness sports relying on virtual reality technology in the development of sports economy. The related concepts of virtual reality technology and the related meanings of national fitness are introduced. The characteristics of the office population are analyzed to understand the daily behavior habits, health status, and common diseases of the target population. Meanwhile, the traditional home fitness equipment and virtual home fitness equipment are collected and compared. The problems of the existing home fitness equipment are understood so as to discover the direction of subsequent design. Then, through interviews, questionnaires, and on-the-spot research, the target users and the product usage environment are investigated in depth. The pain points and needs of users are found and the needs of office workers for fitness products are summarized. The experimental results showed that in the national fitness sports relying on virtual reality technology, 80% of the respondents believed that the integration of somatosensory technology into fitness equipment has a positive effect on improving fitness.

Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network.

Fitness is important in people’s lives. Good fitness habits can improve cardiopulmonary capacity, increase concentration, prevent obesity, and effectively reduce the risk of death. Home fitness does not require large equipment but uses dumbbells, yoga mats, and horizontal bars to complete fitness exercises and can effectively avoid contact with people, so it is deeply loved by people. People who work out at home use social media to obtain fitness knowledge, but learning ability is limited. Incomplete fitness is likely to lead to injury, and a cheap, timely, and accurate fitness detection system can reduce the risk of fitness injuries and can effectively improve people’s fitness awareness. In the past, many studies have engaged in the detection of fitness movements, among which the detection of fitness movements based on wearable devices, body nodes, and image deep learning has achieved better performance. However, a wearable device cannot detect a variety of fitness movements, may hinder the exercise of the fitness user, and has a high cost. Both body-node-based and image-deep-learning-based methods have lower costs, but each has some drawbacks. Therefore, this paper used a method based on deep transfer learning to establish a fitness database. After that, a deep neural network was trained to detect the type and completeness of fitness movements. We used Yolov4 and Mediapipe to instantly detect fitness movements and stored the 1D fitness signal of movement to build a database. Finally, MLP was used to classify the 1D signal waveform of fitness. In the performance of the classification of fitness movement types, the mAP was 99.71%, accuracy was 98.56%, precision was 97.9%, recall was 98.56%, and the F1-score was 98.23%, which is quite a high performance. In the performance of fitness movement completeness classification, accuracy was 92.84%, precision was 92.85, recall was 92.84%, and the F1-score was 92.83%. The average FPS in detection was 17.5. Experimental results show that our method achieves higher accuracy compared to other methods.

Exploration and Study of the Factors Influencing Users’ Adoption of Games for Fitness Behavior

Exergaming has brought new fitness experience for people with restricted behavior in the post-epidemic era, but the current research on exergaming and home fitness behavior of general healthy users is basically in a gap. In this context, this study obtained a total of 603 valid game evaluations through interviews on user experience and online open questionnaires, 330 of which were collected as valid questionnaires through collating and summarizing them, fitness game evaluation scales were developed through factor analysis, and structural equation modeling was used to analyze the intrinsic linkage among factors influencing users’ use of fitness games. The results show that the influencing factors are: technical quality, functional quality, social interaction, playfulness, ease of use and usefulness, among which usefulness has the highest explained variance, and technical quality positively affects functional quality, ease of use, social interaction and playfulness meanwhile indirectly affecting usefulness, while social interaction also positively affects playfulness, functional quality and ease of use meanwhile indirectly affecting usefulness. This leads to the conclusion that technical quality is the basis for the success of each factor, social interaction facilitates all aspects of the games, and usefulness is the key to exergaming. This study is a groundbreaking exploration of the factors that influence users' use of fitness games, which provides some references for subsequent research, development and operation related to fitness games.

A System‐of‐Systems Meta‐Architecture Optimization to Recommend a Solution for Personalized Home Fitness

AbstractDue to the novel coronavirus COVID‐19 pandemic in 2020 and the stay‐at‐home orders that accompanied mandates for businesses to cancel in‐person activities, an increasing number of people turned to fitness alternatives that allowed them to exercise without leaving their homes. With this came a demand for at‐home workout solutions and a surge in sales for companies like Peloton and NordicTrack. To help determine the best solution for a potential customer, this paper analyzes a System‐of‐Systems to optimize a meta‐architecture for an at‐home spin class capability by maximizing five key performance attributes: affordability, efficiency, flexibility, enjoyment, and efficacy. The overall System‐of‐Systems was analyzed using a Fuzzy Inference System that interfaces with SoS Explorer, a System‐of‐Systems architecting tool developed by Missouri University of Science and Technology. A genetic algorithm guided the optimization process to generate a single meta‐architecture that provides the best possible value for the overall objective of the System‐of‐Systems. A summary of the simple Self‐Organizing Genetic Algorithm is included along with a definition of the constraints and equations used to define the score of the meta‐architecture given the combination of systems selected and their associated capabilities, characteristics, and feasible interfaces. Future work includes the expansion of the approach to other potential equipment and workout types, such as running, yoga, and lifting, as part of the analysis and optimization using SoS Explorer.

A Framework for Personalized Training at Home Based on Motion Capture

As the number of single-person households continues to increase, contents related to exercise at home are increasing. Therefore, this paper proposes a framework for efficient home fitness. The home fitness framework proposed in this paper is based on a method of acquiring expert motion information and providing it to users. To this end, content creation and provision are implemented by using Kinect and Unreal game engine. In addition, it is possible to provide customized home fitness in consideration of the user's athletic ability. The proposed system first captures the expert's motion and stores it. We propose a method that can efficiently store stop motion and dynamic motion storage. In the case of each user, since there is a difference in exercise ability for each individual, an adverse effect may occur if an excessively accurate motion is requested. Therefore, to solve these problems, we present the parts that can be considered for each joint. For the exercise motion provided by the expert, a method was provided that allows the user to adjust the degree of matching for each joint in consideration of user's own exercise ability. That is, joint parts that do not require exact matching could be completely excluded from matching. For parts that would be subject to large changes, a range of errors is specified. As the training progresses, the error range is reduced, and the excluded parts are presented to be matched gradually. Such adjustments are made based on expert feedback. In this way, it was possible to improve the exercise effect gradually. This paper proposes an effective method for personalized home fitness according to the user's athletic ability. This will apply to various fields besides home fitness.

Home Fitness and Rehabilitation Support System Implemented by Combining Deep Images and Machine Learning Using Unity Game Engine

Home Fitness and Rehabilitation Support System Implemented by Combining Deep Images and Machine Learning Using Unity Game Engine

Engagement With Web-Based Fitness Videos on YouTube and Instagram During the COVID-19 Pandemic: Longitudinal Study.

BackgroundThe COVID-19 pandemic has drastically changed the physical activity (PA) landscape through the closures of gymnasiums, schools, and many outdoor spaces. Physical distancing guidelines have also reduced opportunity for PA. The popularity of free web-based home fitness videos on video hosting platforms (eg, YouTube and Instagram) has spiked during the pandemic. Many web-based fitness videos offer a convenient, accessible, and cost-effective means of engaging in PA through regularly posted videos or discrete programs. Notably, traditional PA programs often suffer from poor adherence and high dropout rates, despite many advantages over web-based workout programs (eg, equipment, feedback, and in-person engagement). Thus, notwithstanding clear advantages of these web-based fitness videos, their ability to maintain long-term engagement and adherence is unknown.ObjectiveWe explored patterns of engagement (ie, views, likes, and comments) for channels posting daily or program-based web-based fitness videos since the declaration of COVID-19 as a pandemic, over 4 months. Our secondary objective was to examine potential moderators of engagement metrics.MethodsAn environmental scan was used to identify eligible channels. Eligible channels were (1) freely available on YouTube or Instagram and (2) posted daily or weekday series workouts or offered quarantine-specific workout programs. Searches for eligible channels were conducted on June 1 and 4, 2020. Engagement metrics of views, likes, and comments were then collected from channels’ videos posted between March 11 and June 26 or 30, 2020, inclusive, on June 26 or July 8, 2020. A series of multilevel modeling analyses were conducted to examine longitudinal changes in each of the 3 outcome variables.ResultsTen channels were deemed eligible and included in analyses; 6 posted regularly, while the other 4 posted discrete workout programs. Multilevel models revealed that both views and likes significantly decreased across days. Visually, channels display the sharpest drop in engagement within the first week. Linear change estimate indicates that the number of views initially declined by 24,700 per day (95% CI –44,400 to –11,300, P=.01) on average across all the channels. Channels with more subscribers declined in their views, likes, and comments at a significantly higher rate than those with fewer subscribers (P≤.04). The day of the week a video is posted, “virality,” and content of a video appear to influence engagement. Integrating behavior change techniques and posting new and varied videos often may help garner further engagement with these videos. Future research should examine common elements of videos, which drive engagement.ConclusionsDespite raw engagement metrics, each channel demonstrated peak engagement with the initial video followed by decreased engagement with subsequent videos. As many countries maintain restrictions on traditional PA facilities owing to the COVID-19 pandemic, determining methods to improve engagement and adherence with web-based fitness videos becomes increasingly important.