scholarly journals Application of Virtual Reality Human-Computer Interaction Technology Based on the Sensor in English Teaching

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shuai Jiang ◽  
Lei Wang ◽  
Yuanyuan Dong

In order to improve the online English teaching effect, the paper applies the sensor and human-computer interaction into the English teaching. The paper improves the sensor information by applying Kalman Filter, combines sensor positioning algorithm to trace the students in the English teaching online, and turns the kernels by the skeleton algorithm into corresponding coordinates of space rectangular coordinate system taking the waist as a coordinate origin to get a human-computer interaction skeleton model in the virtual reality. According to the actual needs of English teaching human-computer interaction, the paper builds a new English teaching system based on the sensor and the human-computer interaction and tests its performance. The experiments suggest that the smart system in the paper can effectively improve English teaching effects.

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
FenTian Peng ◽  
Hongkai Zhang

Human-computer interaction technology simplifies the complicated procedures, which aims at solving the problems of inadequate description and low recognition rate of dance action, studying the action recognition method of dance video image based on human-computer interaction. This method constructs the recognition process based on human-computer interaction technology, constructs the human skeleton model according to the spatial position of skeleton, motion characteristics of skeleton, and change angles of skeleton, describes the dance posture features by generating skeleton node graph, and extracts the key frames of dance video image by using the clustering algorithm to recognize the dance action. The experimental results show that the recognition rate of this method under different entropy values is not less than 88%. Under the test conditions of complex, dark, bright, and multiuser interference, this method can make the model to describe the dance posture accurately. Furthermore, the average recognition rates are 93.43%, 91.27%, 97.15%, and 89.99%, respectively. It is suitable for action recognition of most dance video images.


2017 ◽  
Vol 1 (2) ◽  
pp. 18-41
Author(s):  
Zeenat AlKassim ◽  
Nader Mohamed

This paper discusses recent and unique inventions in Human Computer Interaction (HCI). To that end, firstly the authors discuss the Sixth Sense Technology. This technology allows users to interact with virtual objects in the real world in a unique manner. It has a number of applications which are further discussed. Then the opportunities and challenges are discussed. Most importantly, a list of inventions in fields of Augmented Reality (AR) and Virtual Reality (VR) in the recent years are discussed, grouped and compared. These include the smart eye glasses, VR headsets, smart watches, and more. Future implications of all those technologies are brought into light considering the new advancements in software and hardware designs. Recommendations are highlighted for future inventions.


2016 ◽  
Vol 46 (12) ◽  
pp. 1711-1736 ◽  
Author(s):  
Fengjun ZHANG ◽  
Guozhong DAI ◽  
Xiaolan PENG

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