Abstract
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.
Highlights
The traditional English teaching mode has already been unable to fulfill the need of English teaching in the information age, especially in the period of the COVID-19
The human-computer interaction system, to a certain degree, can allow the users to freely talk to the computer in their own familiar way; the computer has a certain ability of understanding and can understand the users to a certain degree or can smartly give the users a specific feedback the intension is not clear enough [4]
82.30 coordinate system, the model of the sonar sensor is expressed as the following formula: 8 >>< xiðkÞ = xðkÞ − xi′ðkÞ sin ðθðkÞÞ + yi′ðkÞ cos ðθðkÞÞ
Summary
The traditional English teaching mode has already been unable to fulfill the need of English teaching in the information age, especially in the period of the COVID-19. The user just needs a simple operation, which is obviously with a purpose especially understanding the user on the basis of previous operations, but the system is unable to know the real intention and just treats it as a normal operation This cannot cause a smooth information exchange between the system and the user. The first thing to study is how people conduct daily communication in real life, including the way of expressing intentions, the way of receiving outside information, and the way people express their intentions to people in the outside world and people’s response models when asking questions These expression models and response models are related to the types of users, users’ experience, abilities, skills, and preferences in the field. The paper applies the sensor and virtual reality into the English teaching and builds a smart system so as to improve the English teaching effect
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