Human-computer Interaction Interface Research Articles

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Emotion assessment is a challenging task in the human–computer interaction interface. Previous studies have examined the relationship between emotion and color, but they fail to accurately analyze emotional semantics due to the numerous elements in human–computer interaction interfaces. As a result, a combination model of a backpropagation neural network (BPNN) and an artificial bee colony algorithm (ABC) was presented in this paper to predict the emotion semantics of the human–computer interaction interface. The mechanism of generating the weights and thresholds for each layer of BPNN was converted to the search for an optimal honey source. Meanwhile, according to experiment results and evaluation of elements in human–computer interaction interfaces, this paper has assessed the relationships amongst the eight key elements (ratio of graphics to text, color difference, color distribution, color harmony, theme style, white space ratio, frame style, number of colors) and emotion word pairs (moderation-fancy, calm-pleasure, confusing-clear, cold-kind, coarse-elegant). Furthermore, an emotion application database was established to determine how the amalgamation of critical elements affects the users’ feelings about the human–computer interaction interface to help designers build a user-centric interface. Finally, the database can be applied to relieve mental health problems by meeting the psychological expectations of users as mental healthcare intervention during the COVID-19 pandemic. Also, it can help designers to design a pleasurable visual interaction interface for a particular element to convey health-related information and protective measures.

UAV patrol path planning based on machine vision and multi-sensor fusion

Abstract With the rapid development of unmanned aerial vehicle (UAV) technology, there are more and more fields of UAV application. This research mainly discusses the UAV patrol path planning based on machine vision and multi-sensor fusion. This article studies how to apply ultrasonic, a classic ranging sensor, to obstacle avoidance of UAVs. The designed ultrasonic obstacle avoidance system is a complete set of hardware and software systems. The hardware part consists of a forward ultrasonic module and a central signal processing module. Among them, a single-axis stabilization gimbal is designed for the forward ultrasonic module, which decouples the attitude angle of the UAV and the pitch detection angle of the ultrasonic sensor. In the central signal processing module, Kalman filtering is performed on the ultrasonic data in the four directions of front, rear, left, right, and left, and the obstacle avoidance control signal is sent to the flight controller according to the filtered sensor data. At the same time, a human–computer interaction interface is also designed to set various parameters of the obstacle avoidance system. For the route planning method of the tower, the routine steps are used to inspect the tower with a single-circuit line, and the specific targets are the insulator string, the ground wire, and the conductor. In this study, the average statistical result of the straight-line distance of the UAV patrolling 100 m is 99.80 m, and the error is only 0.2%. The fusion obstacle avoidance control method based on machine vision is suitable for the engineering application of UAV perception obstacle avoidance. The obstacle avoidance method adopted in this article can be extended to most flight control platforms, and it is a control method with broad application prospects.

Research on Design of Photoelectric Turntable for Autonomous Reconnaissance

In this paper, the structural types of autonomous reconnaissance photoelectric turntables and the electrical system design methods of autonomous reconnaissance control are proposed and simplified. Meantime, the key technologies of autonomous reconnaissance photoelectric turntables are proposed and simplified, and the human-computer interaction interface of the autonomous reconnaissance photoelectric turntable is described, the concept of autonomous collaboration and its corresponding collaborative algorithms is explained, and the prospects for future development direction are proposed.

Analysis on the Promotion of Classroom Atmosphere in Multimodal English Teaching Based on Human-Computer Interaction

In recent years, multimodal approaches to English Teaching (ET) take into account well not the distinct capabilities of text, speech, and visuals and how these modalities may be combined to provide engaging and instructional material for students. The lack of language, articulation issues, lack of enthusiasm, and usage or interference of the mother language are cited as the most significant difficulties students face while learning English. The Classroom Atmosphere (CA) plays a crucial role in facilitating the education system by fostering a sense of trust and fellowship between the instructor and students, increasing students’ performance, and reducing disruptive behaviours. Human-Computer Interaction (HCI) aims to enhance the efficiency and satisfaction of users in their interactions with computerized systems integration. This is accomplished by improving the HCI interface given knowledge about the tasks and organizational contexts in which HCI is performed. This paper proposes an HCI-assisted Multimodal English Teaching (HCI-MMET) to promote the classroom atmosphere. Classrooms with a great atmosphere are more conducive to learning. This method helps with high expectations, promoting student participation, making the classroom physically attractive, including parents, and ability to motivate and performance feedback are all ways to establish a healthy classroom atmosphere. The multimodal approach should be used in the classroom for instructing students in a foreign language. Problem-solving and creative thinking are at the basis of HCI, where learners gain the ability to analyze a system, pinpoint problem areas, and provide solutions. Hence the proposed method HCI-MMET gives the outcomes of Classroom interaction and efficiency-83%, Student performance based on a positive atmosphere-75%, Teacher’s interest in classroom settings-81%, Student motivation in the multimodal classroom-79%, Development of peer support-86% comparing to the existing methods.

Design and stability analysis of a solar‐powered versatile patrol robot

AbstractIn order to effectively solve the problem of energy autonomy of patrol robots in open‐air working environment and free them from the limitation of power lines on their activity range. In this article, a solar‐powered patrol robot based on a robot operating system is designed. The system adopts a modular design, using a master–slave distributed controller to control the robot's motion, and building an intelligent sensing system for the robot with various sensors. Meanwhile, flexible thin‐film solar cells and lithium batteries form a folded multi‐mode power supply system, which solves the problem of timely power supply. In addition, a simple and practical human–computer interaction interface is designed to facilitate viewing the robot's status. Finally, in order to verify the performance of the robot, the stability of the designed solar‐powered patrol robot is verified through different experiments, which has a reference value and practical significance for the development of patrol robots.

Multimedia Teaching Mode in Colleges and Universities Based on Psychology-Based Human-Computer Interaction Interface Design

In order to adapt to the development of teaching informatization and meet the needs of students, teachers and parents, it is necessary to strengthen the active participation of students and integrate various curriculum resources, and improve teaching quality and the modes. Comprehensive multimedia software should be produced, including audiovisual and other sensory experiences. This is a concentrated expression of media diversity and networking, which not only breaks the traditional single-source education model, but also improves students’ interest and enthusiasm for learning. As a new teaching tool, multimedia teaching uses the latest computer, multimedia and network technologies to make the presentation of teaching materials more dynamic. This is because it can break through the constraints of time and space and show a high degree of flexibility and interactivity. However, most multimedia teaching and learning in China are faced with problems such as poor interactivity, insufficient programming, product personalization, intellectual property rights and insufficient knowledge of software automation. Therefore, this paper designed the multimedia teaching system from the perspective of psychology through human-computer interaction, so as to improve the teaching quality and promote the diversified development of teaching. The results showed that the multimedia teaching improved by about 9% compared with the traditional model, and the students’ learning effect also improved by about 11% compared with the traditional model.

A novel test method of load-bearing performance of sized warp yarn based on weaving load simulation and its effectiveness

To simulate the weaving process effectively and evaluate the load-bearing performance of sized warp yarn based on the tensile and friction loads of warp in weaving, a weaving load simulation tester of sized warp yarn (SWL) named JN-01 was designed and developed in this paper. It realized the simulation of warp tension, opening tensile load, and abrasion load, respectively. In addition, the SWL included three auxiliary function modules, that is, take-up and let-off, yarn breaking automatic stop, and human–computer interaction interface. The load-bearing life of sized warp yarn was measured by the number of load cycles when the yarn broke. Taking pure cotton sized warp yarn of 14.5 tex as the test sample, the effects of adjustable parameters of the SWL, such as working frequency, opening stroke, yarn tension, reed swing angle, and winding speed, on the load-bearing performance of sized warp yarn were systematically studied. Aiming at the stability of the test results of load-bearing life, the parameters of the SWL were optimized by the analysis of response surface methodology. The optimization results showed that: when the parameters were maintained at the following level, that is, working frequency of 180 rpm, winding speed of 3 mm/min, opening stroke of 32 mm, reed swing angle of 12° and yarn tension of 1.7 cN/tex, the relative deviation between the predicted value and the theoretical value of load-bearing life CV was 0.85%. The results also indicated that the optimized instrument parameters had good reproducibility.

Study on the Availability of Digital Interactive Mode of Scenic Spots Guidance System

Some characteristics and advantages of human-computer interaction interface design based on scenic spot guidance, in order to better apply human-computer interaction interface in product usability, the user model, user interface model, multi-channel interaction information integration, pen-based interaction technology, human-computer interaction software architecture and other contents in human-computer interaction are analyzed. It solves the problem of product homogeneity caused by traditional cognitive interaction and makes the design of interactive products return to focusing on users and interaction itself. The feasibility and rationality of the interactive product design method based on usability theory are verified through design practice, and this method has certain guiding significance.

Design and Application of Virtual Flexible Simulation Experiment Teaching Platform for Relay Protection

Abstract: Power system relay protection (PSRP) is a comprehensive course in electrical engineering undergraduate stage, which has a very strong engineering application. However, due to the influence of many factors, such as the power system security, high experimental cost, limited course hours, insufficient open conditions, and so on, traditional experimental teaching combined with hardware is difficult to meet the needs of students in various scenarios anytime and anywhere. Therefore, a low-cost virtual flexible simulation experiment teaching platform (VFSETP) is developed. The platform uses Simulink to build the simulation model of power system primary system and uses graphical user interface (GUI) to design the human-computer interaction interface. Through the communication between GUI and Simulink model, the protection experiments in various scenarios are successfully simulated. The VFSETP has many advantages such as simple interface, good visualization effect, and simple operation. The teachers can easily use it for classroom demonstration, and the students can use it for verification, analysis, expansion, and exploration of experiments in a variety of application scenarios without relying on the laboratory environment. This experimental mode is very conducive to the understanding of knowledge and the cultivation of practical innovation ability. The results of the student survey show that the design method and application mode of the platform can provide a reference for similar courses.

Design and development of a novel infrared mild moxibustion device

To make up for the shortcomings of traditional mild moxibustion, according to the principle and technical operation characteristics of traditional mild moxibustion, combined with temperature control technology, a novel infrared mild moxibustion device is developed, which is capable of real-time accurate temperature control. This novel infrares mild moxibustion device is composed of a host computer and an infrared radiation head. The host computer includes four modules: power supply, human-computer interaction interface, micro control unit (MCU) and drive circuit. The infrared radiation head mainly includes an infrared heater and a temperature sensor. This novel infrared mild moxibustion device is easy to operate. The electrothermal heating tablet can generate infrared radiation of 3 000-13 000 nm. After the temperature of the infrared heater is stabilized, the range of temperature change is ±0.50 ℃, realizing the goal of precise temperature control. In addition, it can operate moxibustion treatment at multiple acupoints at the same time, which is conducive to the dose-effect evaluation of mild moxibustion.

Research on layout optimisation of human-computer interaction interface of electronic music products based on ERP technology

Research on layout optimisation of human-computer interaction interface of electronic music products based on ERP technology

Research on layout optimisation of human-computer interaction interface of electronic music products based on ERP technology

Research on layout optimisation of human-computer interaction interface of electronic music products based on ERP technology

An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm

Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm

Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm

Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm

A three-dimension terminal simulation tool based on transfinite element method

In the design of high-speed interconnection systems, it is often necessary to evaluate signal integrity and electromagnetic interference performance by extracting terminal network parameters and differential and common mode network parameters. However, in a multi-conductor transmission line, the characteristic parameters related to different conductors, which named terminal in terminal theory, are couped together in traditional model network parameters and could not be extracted directly. Therefore, in this paper, a three-dimension terminal simulation tool based on transfinite element method is developed to solve this problem. The vector finite element method is combined with the transfinite element method, and the electric field of the truncation surface is approximated by the expansion of the truncation surface mode function. As far as we know, the combination of the transfinite element method and the terminal theory is proposed for the first time. The terminal simulation tool has a human-computer interaction interface, as well as functions such as modeling, mesh generation, solution setting, and post-processing result display, which can accurately obtain the terminal network parameters and differential and common mode network parameters. Numerical examples are given to demonstrate the accuracy and efficiency of the developed tool compared with the results from HFSS.

Highly-Parallel Hardwired Deep Convolutional Neural Network for 1-ms Dual-Hand Tracking

1-ms vision systems represent an extreme case of temporal development in video sensing techniques. Moreover, a 1-ms dual-hand tracking system leverages the dexterous functionality of hands and thus serves as a seamless and intuitive interface for Human-Computer Interaction. Deep CNN is promising for high tracking robustness, however, neither GPU-based nor FPGA-based implementation addresses the tracking task with ultra-high-speed. This paper proposes: (a) A paradigm to directly map a deep CNN as a hardwired circuit, so the entire network runs in parallel and high processing speed is obtained. The network is exempted from memory access since all intermediate neural values are implicitly represented in hardware states. And condensed binarization is used to reduce resource utilization; (b) Hardware design of the hardwired network on FPGA, inside which kernel-adapted convolutional trees are devised to maximize the parallelism. The speed bottleneck of the network is therefore removed by implementing convolutional layers as fine-grained pipelines with unified components; (c) FPGA-GPU hetero complementation, which utilizes an auxiliary GPU network to compensate for accuracy of the FPGA network without affecting its speed. The quick primary results on FPGA are intermittently refined using delayed but accurate hints from GPU. Implementation results show that the proposed method reaches 973fps and consumes merely 1.30ms to process on <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$640\times 480$ </tex-math></inline-formula> images, while the accuracy is only 4.7% lower compared with the general method on test sequences. Video demonstrations are available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://wcms.waseda.jp/em/5f9d020f136e7</uri> .

Automatic Anomaly Monitoring Research of Business English Literature Translation Based on Decision Tree Intelligent Analysis

As an important language tool, literature in business English defines rights and obligations in business activities from the perspective of literature translation. This article discusses business English from the perspective of literature translation, which should not only preserve the characteristics of literature, but also ensure the smooth and correct language. In order to improve the accuracy of the automatic translation of business English literature and optimize the design of the teaching platform for business English literature translation, a design method of the teaching platform for business English literature translation based on the decision tree logistic model is proposed. The platform design consists of two modules: automatic translation algorithm design and software development of the platform. Using the decision tree logistics model to analyze the semantic features of business English translation and context feature matching and adaptive semantic variable optimization method to analyze automation lexical features of business English translation and to extract the correlation between vocabulary and vocabulary characteristics, in the context of a specific business translation difference correction, the accuracy of English translation is improved. The software design of the platform is carried out under the decision tree logistics model. The platform construction is mainly divided into vocabulary database module, English information processing module, network interface module, and human-computer interaction interface module. B/S framework protocol is used for integrated development and the design of translation platform. According to the characteristics of the data business application and the particularity of data security risk monitoring, from business English requirement analysis, the study of business English translation behavior monitoring ability and analysis in the process of abnormal behavior monitoring techniques and methods, including data access, data processing, experience in engine, and model engine puts forward the future research direction. The platform test results show that this method has good accuracy and strong automatic translation ability in business English literature translation.

Research and application of photovoltaic cell online monitoring system for animal robot stimulator

Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the optimal stimulation strategy. In this paper, an online monitoring system of photovoltaic cells for animal robot stimulators was presented. It was composed of battery information sampling circuit, multi-channel neural signal generator, power module and human-computer interaction interface. When the signal generator was working, remote navigation control of animal robot could be achieved, and the battery voltage, current, temperature and electricity information was collected through the battery information sampling circuit and displayed on the human-computer interaction system in real time. If there was any abnormal status, alarm would be activated. The battery parameters were obtained by charging and discharging test. The battery life under different light intensity and the stimulation effect of neural signal generator were tested. Results showed that the sampling errors of battery voltage, current and electric quantity were less than 15 mV, 5 mA and 6 mAh, respectively. Compared with the system without photovoltaic cells, the battery life was extended by 148% at the light intensity of 78 320 lx, solving the battery life problem to some extent. When animal robot was stimulated with this system, left and right turns could be controlled to complete with the success rate more than 80%. It will help researchers to optimize animal robot control strategies through the parameters obtained in this system.