[Retracted] Design of Service Robot Based on User Emotion Recognition and Environmental Monitoring

Abstract

Robots may be able to comprehend human emotions better by adding speech emotion recognition and environment monitoring functions to human-computer interaction systems. Robots can offer more humanized services by adapting to human emotions, resulting in a comfortable and cordial interaction between humans and robots. Improve the environment for communication and computer-human interaction and also interactive computer experience. In order for service robots to perform fluid human-computer interaction, this paper designs a sentiment analysis model based on CNN (convective neural network) to detect the feeling of interacting objects. It also builds a sentiment analysis model and an open domain dialogue system suitable for service robots. Examine the emotions experienced by the objects while they conversed. According to test results, the sentiment classification method used in this article performs more accurately on the dataset than the conventional model, and the final sentiment analysis model’s F1 value can reach 0.931, which is better able to identify an emotional state. Using all voice samples as the input content of the network would eliminate the confusion between neutral emotions and other nonneutral emotions, boosting the accuracy of sentiment analysis in comparison to the fixed-length processing method of dividing or filling samples.

Building a Low-Cost Wireless Biofeedback Solution: Applying Design Science Research Methodology

“…Service robots in the health care sector can aid patients with cognitive obstruction via built-in affective computing algorithms [ 58 ]. In commerce, empowering service robots with emotion recognition is a highly popular topic in research [ 59 , 60 , 61 , 62 , 63 , 64 ]. Some emotion recognition databases are available for service robots [ 65 , 66 ].…”

Retracted: Design of Service Robot Based on User Emotion Recognition and Environmental Monitoring

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”