An Intention Understanding Algorithm Based on Multimodal Information Fusion
This paper proposes an intention understanding algorithm (KDI) based on an elderly service robot, which combines Neural Network with a seminaive Bayesian classifier to infer user’s intention. KDI algorithm uses CNN to analyze gesture and action information, and YOLOV3 is used for object detection to...
Enregistré dans:
Auteurs principaux: | Shaosong Dou, Zhiquan Feng, Jinglan Tian, Xue Fan, Ya Hou, Xin Zhang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi Limited
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6ebbeebb374943e3aa0ede04bbd3f216 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Monte Carlo Algorithm-Based Multimodal Magnetic Resonance Imaging Prognosis Prediction in Analysis of Rehabilitation Effect of Exercise Learning on Stroke Patients and Influencing Factors of Memory Function
par: Luyi Wang, et autres
Publié: (2021) -
Process Product Design Based on Multimode Interaction Design
par: Chuyi Liu
Publié: (2021) -
Design of Process Products Based on Image Processing Multimode Interaction
par: Wei Sun, et autres
Publié: (2021) -
Information Visualization from the Perspective of Big Data Analysis and Fusion
par: Xiang Lin
Publié: (2021) -
Research on Spoken Language Understanding Based on Deep Learning
par: Hui Yanli
Publié: (2021)