{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T14:02:43Z","timestamp":1750514563277,"version":"3.40.5"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:00:00Z","timestamp":1637193600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Independent Innovation Team Project of Jinan City","award":["2019GXRC013"],"award-info":[{"award-number":["2019GXRC013"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,11,18]]},"abstract":"<jats:p>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\u2019s intention. KDI algorithm uses CNN to analyze gesture and action information, and YOLOV3 is used for object detection to provide scene information. Then, we enter them into a seminaive Bayesian classifier and set key properties as super parent to enhance its contribution to an intent, realizing intention understanding based on prior knowledge. In addition, we introduce the actual distance between the users and objects and give each object a different purpose to implement intent understanding based on object-user distance. The two methods are combined to enhance the intention understanding. The main contributions of this paper are as follows: (1) an intention reasoning model (KDI) is proposed based on prior knowledge and distance, which combines Neural Network with seminaive Bayesian classifier. (2) A set of robot accompanying systems based on the robot is formed, which is applied in the elderly service scene.<\/jats:p>","DOI":"10.1155\/2021\/8354015","type":"journal-article","created":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T22:20:05Z","timestamp":1637274005000},"page":"1-11","source":"Crossref","is-referenced-by-count":2,"title":["An Intention Understanding Algorithm Based on Multimodal Information Fusion"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4531-1366","authenticated-orcid":true,"given":"Shaosong","family":"Dou","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7704-4197","authenticated-orcid":true,"given":"Zhiquan","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]},{"given":"Jinglan","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]},{"given":"Xue","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]},{"given":"Ya","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8946-3401","authenticated-orcid":true,"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China"},{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.4017\/gt.2009.08.02.002.00"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2015.2460697"},{"key":"3","article-title":"Audio-visual emotion recognition using 3DCNN and DBN techniques","author":"S. 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