The advent of self-powered arrays of tribological nanogenerators (TENGs) that harvest mechanical energy for data collection has ushered in a promising avenue for human motion monitoring. This emerging trend is poised to shape the future landscape of biomechanical study. However, when we try to monitor various regions of the foot across disparate environments simultaneously, it poses a number of problems, such as the lack of satisfactory waterproofing, suboptimal heat resistance, inaccurate monitoring capacity, and the inability to transmit data wirelessly. To overcome these issues, we have developed an array of sensors affixed to the insole’s surface to adeptly monitor movement gait patterns and alert users to falls using self-powered triboelectric nanogenerators (TENGs). Each sensor cell on this sensor works as an individual air gap TENG (FWF-TENG), namely flexible, waterproof, and fast response, composed of an Ecoflex single-electrode array. Each FWF-TENG boasts a fast response time of 28 ms, which is sufficient to quickly monitor pressure changes during various badminton activities. Importantly, these sensors can persistently generate electrical signals at 70%RH humidity. Data obtained from these sensors can be transmitted to an upper computer intelligent terminal wirelessly through multi-grouped FHW-ENG sensing terminals in real time to achieve human–computer interaction applications, including motion technical determinations, feedback, and fall alerts. As a result, the interconnected TENG arrays have broad potential applications, including gait rehabilitation monitoring, motion technique identification, and fall alarm applications.
Anxiety has been widely prevalent among female Ph.D. candidates. There is a positive correlation between exercise and mental health promotion. Nevertheless, little is known about the use of fitness dance and funny running to intervene in the anxiety of female Ph.D. candidates. In this paper, the effects of fitness dance and funny running on the anxiety of female Ph.D. candidates were evaluated by a repeated measurement experimental design. We randomly divided the participants into two groups, one group received a fitness dance exercise, and the other received a funny running exercise. The Spielberger State–Trait Anxiety Inventory was used to investigate the female Ph.D. candidates’ anxiety. Repeated measures ANOVA was used to test the effects of a fitness dance group and a funny running group on participants’ anxiety, and to compare the differences between the two groups. Results showed that a 12-week fitness dance and funny running can alleviate participants’ anxiety from severe to moderate. Specifically, fitness dance increased the positive emotional experience of participants’ state anxiety (p = 0.018) and trait anxiety (p = 0.019) at 8-week, and decreased the negative emotional experience of state anxiety (p = 0.012), trait anxiety (p = 0.008), state anxiety level (p = 0.001) and trait anxiety level (p = 0.034) at 12-week. Funny running increased the positive emotional experience of participants’ state anxiety (p = 0.014), and trait anxiety (p = 0.002), and reduced the negative emotional experience of state anxiety (p = 0.043), state anxiety level (p = 0.047) and trait anxiety level (p = 0.022) at 12-week. This study suggests that fitness dance and funny running are healthy behaviors, which can help Chinese female Ph.D. candidates to dissociate from anxiety and stress situations and develop a healthy lifestyle. It is worth noting that the effects of fitness dance on Chinese female Ph.D. candidates’ anxiety are better than that of funny running. Based on the good effects of fitness dance in alleviating the anxiety of Chinese female Ph.D. candidates, future researches can design fitness dance intervention programs combining exercise therapy and psychotherapy according to the anxiety characteristics of female Ph.D. candidates, such as mindfulness fitness dance programs.
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