In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an electrocardiogram patch. Common functions of these wearable devices are that they use real time to display the state of health of the body, and they are all small sized. The electromyogram (EMG) signal is usually used to show muscle activity. Thus, the EMG signal could be used to determine the muscle-fatigue conditions. In this study, the goal is to develop an EMG patch which could be worn on the lower leg, the gastrocnemius muscle, to detect real-time muscle fatigue while exercising. A micro controller unit (MCU) in the EMG patch is part of an ARM Cortex-M4 processor, which is used to measure the median frequency (MF) of an EMG signal in real time. When the muscle starts showing tiredness, the median frequency will shift to a low frequency. In order to delete the noise of the isotonic EMG signal, the EMG patch has to run the empirical mode decomposition algorithm. A two-electrode circuit was designed to measure the EMG signal. The maximum power consumption of the EMG patch was about 39.5 mAh. In order to verify that the real-time MF values measured by the EMG patch were close to the off-line MF values measured by the computer system, we used the root-mean-square value to estimate the difference in the real-time MF values and the off-line MF values. There were 20 participants that rode an exercise bicycle at different speeds. Their EMG signals were recorded with an EMG patch and a physiological measurement system at the same time. Every participant rode the exercise bicycle twice. The averaged root-mean-square values were 2.86 ± 0.86 Hz and 2.56 ± 0.47 Hz for the first and second time, respectively. Moreover, we also developed an application program implemented on a smart phone to display the participants’ muscle-fatigue conditions and information while exercising. Therefore, the EMG patch designed in this study could monitor the muscle-fatigue conditions to avoid sport injuries while exercising.

Objectives: In this paper, we explore the relationship between the psychological capital, sport anxiety, and sport performance of collegiate judo athletes. Methods: The research object is the collegiate first-division judo athletes in Taiwan. Convenience sampling was used to conduct an online survey. A total of 106 questionnaires were issued, 102 valid questionnaires were returned, and the effective response rate was 96.23%. The data were analyzed by using confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The psychological capital of collegiate judo athletes has a significant positive impact on sport performance; moreover, the sport anxiety of collegiate judo athletes has a significant negative impact on psychological capital. Through psychological capital, sport performance can be improved. Therefore, psychological capital has an intermediary effect. Conclusion: This study shows the higher the level of mental capital of collegiate judo athletes, the better the positive impact on sport performance; in addition, the higher the sport anxiety, the lower the psychological capital. However, sport anxiety can improve sport performance through psychological capital; therefore, we recommend that the training plan of collegiate judo athletes focus on strengthening the athletes' mental skills to improve their sport performance.

The distinction between positive and negative perceptions is fundamental in perception models. The purpose of this study was to investigate the correlation between field perceptions of table tennis players and the outcome (net result) during the matches in a competition. Experimental data were collected from 10 elite table tennis players and analysed. The results addressed the following three competition field perceptions: (1) before the service, the player’s positive perceptions had significant effect on the positive outcome (winning rate) of that service; (2) the perception after the net result of the previous service increased the positive outcome of the next service, and (3) the player’s positive/negative perception during the matches affected the win/loss outcome of that competition. In conclusion, the player’s positive perceptions enhanced their winning rate during table tennis competitions. Therefore, during the training program, coaches need to develop positive perceptions and strengthen the psychological quality of table tennis players.

In this study, UTAUT2 is used to explore the use behavior by consumers regarding a self-ordering system. A total of 227 valid questionnaires were collected after being distributed with an effective recovery rate of 90.8%. Confirmatory factor analysis and a structural equation model were utilized via Smart PLS 2.0. The result shows that only several research hypotheses have significant effects. Among the adjustment variables, age and habits have a significant impact on user behavior. Experience and convenience conditions have a significant impact on use intention. Experience and habit have a significant impact on use intention. The overall model fit is excellent with high explanatory power. According to the research results, the public accepts self-service ordering technology systems in restaurants. The higher the level of pleasure after use, the higher the willingness to use the system in the future.