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For the participants of the exercise, the improvement of physiological benefits is the highest degree of recognition, followed by social benefits, and psychological benefits again. In other words, the participants believe that the biggest benefit after the activity is the improvement of self-health fitness. Consumer demand for sports functionality will change with different environments. Because when exercising outdoors, it will cause changes in body muscle load and cardio-respiratory function due to the difference in road surface gradient. Therefore, in the design of sports training, in addition to the structure of the product itself must be in line with human factors engineering, and should also take into account the measurement values of various parts of the body related to riding. The average user tends to challenge the self and ignores the prevention of sports injuries, causing damage to the neck, lower back, knee or wrist. Therefore, how to build a machine that can provide better exercise through machine learning must be emphasized. How can you not create sports injuries as a basis for a product. Therefore, this study will provide a data source for future sports products in machine learning by using three different lower limb tread frequencies at a fixed intensity to observe the correlation between heart rate changes, muscle fatigue, and pedaling strength.

From the future social trends, economic trends and technological trends, it can be clearly found that the advent of the Internet of Things and the development of communication technologies have jointly subverted the definition of action. In the past, traffic accidents caused by fatigue driving and unsafe driving behavior will begin to decline due to advances in technology. Therefore, the impact on the future automobile industry is particularly significant, forcing the auto industry to carry out reforms again and again. In the near future, people's transportation will move toward fully-automobile driving, and will soon become the normal state of human life in the future. The development of 5G will also make human life more successful in the transformation. In view of this, the research will use the case study method to conduct an inductive analysis of the technology required for driverless driving and 5G technology. Through analysis, it will provide a reference for the future unmanned system service planning. It is expected that the fully-automated driving vehicles will be shared in the future. Excellent quality of interconnection and green environmental protection.

Obesity issue in United States has become a common health problem. Not only is obesity an issue to adults, but also children age from 6 to 19 have now also been facing the same problem. The purpose of this study is to enlighten the children about the concept of healthy eating behavior by using the interface design of digital image, it could improve the cognitive performance of children for healthy diet. The process of digital image can be divided into algorithms with image processing, image display, and deconstruction of images. In order to provide an image with appropriate quality and deliver the correct information, the image semantics and its formation will be changed by different background and environment. The principal aim of this study is conducting multi-level surveys to identify the children’s cognitive gap in image of food, and provides a useful reference for digital image designers by combining the physical and virtual interactions in the future.

In today’s era of global shopping networks and online shopping virtual reality, people’s desire for “clothing” in basic needs seems to never decrease, but the knowledge gained through big data should provide more new consumer perceptions of changes in internet shopping. How the traditional garment manufacturing industry can generate a new cognition through the deconstruction of the symbol by consumers, endow the network apparel industry with a new life, through the rapid and efficient overall marketing model, created a large number of styles to drive the global fashion trend, sustained economic growth, is the core spirit of this study. This study uses the Quality Function Deployment(QFD), through the consumer to the fast fashion dress line composition symbol semantics to give the decomposition deconstruction, lets the dress symbol image helps the consumer in the network to focus on the fast fashion dress silhouette produces the visual symbol change, the real grasp to the customer’s feeling, in order to understand the fast fashion for the design level and the customer demand. By converting the customer demand factor into the analysis pointer and finding out the most suitable design decision evaluation after screening and evaluation, this method accurately provides the design pattern that conforms to the designer’s and customer’s needs and provides a reference basis for the design of the network virtual reality store in the future.

The transformation of graphics comes from the recognition of symbolic semantics, related cognition will affect human cognition, different countries, cultures, years, age, gender, etc. For the people will have different cognitive differences. How to provide better images to satisfy users, making it easier to learn and cognize, and reduce factors such as misjudgment or misunderstanding, will come to be an important issue. Whether in normal healthy users or in dementia due to advanced age, the relationship between image and cognition must be taken seriously. This study will make a change design for image and symbol semantics to study the responses and cognition of different subjects and provide a reference for future rehabilitation learning or cognitive learning.

The development and teaching of innovative design courses has always been a topic that many schools are currently concerned about. Many of the innovative teachings are mostly inspired concepts of innovation. After actual commercialization, specific outputs are obtained. How to find a good topic through patents The analysis, and then use the actual model of production, do product verification, complete creativity and innovation. In this study, creative creativity was adopted as the core of curriculum creative innovation in commercial design of industrial design. Through a process of market research, patent analysis, concept design and sample production, a design case was used as an example of a creative innovation course. A reference material for future innovation to commercialization.

Application of Artificial Intelligence in learning has always been an important issue.. However, collapse or lesion on functions of the cerebrum cell is a common phenomenon upon aging for the elderly. Senile Dementia is even more one of common problems. Thus, how to facilitate the activation of the cerebrum cell for deferring aging of the cerebrum through an excellent learning training is the issue of discussion that many scientists and educationalists have been endeavoring to explore for a long time. The study attempt to develop a curriculum of green natural learning(combine landscape therapy with learning therapy) in order to intensify the cerebrum function, alleviate brain collapse, promote mental function and reinforce learning effect by means of horticultural and learning methods on five sense stimulation, experience in person and the application of learning theory. Further reduce the traditional drug treatment have a negative impact (including falls, poisoning, etc.) According to the integrated result of the research, it is verified that the training of green natural learning can improve cognitive function and facilitate the promotion on cognition and learning competency of the elderly. The results of this study hope for the future of the elderly in the wisdom of learning to provide a reference basis and direction.

This study extends the concept of capillary valve to realize a micro time-delay switch for safety and arming application. The presented device consists of working fluid (Glycerol), micro capillary valve with required time-delay mechanism design, and sensing electrodes. Thus, the delay time could be easily changed by (1) varying the geometry design of valve angle β and the neck-width w, and (2) selecting the working fluid. The design could also be easily changed for applications of different inertia force. Simulation shows the time-delay of m-second to few seconds can be easily achieved and adjusted by the presented design. This study has successfully fabricated the proposed time-delay switch. Measurements show the switch with Glycerol working fluid have 4.1 to 10.9 seconds delay time by varying the design parameters from β = 30° and w = 1000 μm to β = 60° and w = 500 μm.