T. Limpiti, Sudarat Khamyan, Setthawut Chumsaeng, N. Puttarak
{"title":"为听障人士设计的智能对话框","authors":"T. Limpiti, Sudarat Khamyan, Setthawut Chumsaeng, N. Puttarak","doi":"10.1109/ICEAST.2019.8802596","DOIUrl":null,"url":null,"abstract":"Conversations between a person with severe hearing impairment and a hearing person is difficult because people who know sign language are rare. Therefore, to facilitate the conversation, we design and develop a portable dialogue box that can be used without an interpreter. The system detects sign language of a deaf person by capturing hand images with a camera. The images are pre-processed and the histograms of oriented gradients (HOG) are extracted as image features. A multi-class support vector machine uses the HOGs as inputs to classify the alphabets. The vocal reply from a hearing person is received through a microphone and interpreted via Google cloud speech API. Both parts are processed by a microcomputer to produce messages of the conversation. The dialogue is displayed on the graphical user interface. The system can also record the conversation logs into the database.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A smart dialogue box for the hearing impaired\",\"authors\":\"T. Limpiti, Sudarat Khamyan, Setthawut Chumsaeng, N. Puttarak\",\"doi\":\"10.1109/ICEAST.2019.8802596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conversations between a person with severe hearing impairment and a hearing person is difficult because people who know sign language are rare. Therefore, to facilitate the conversation, we design and develop a portable dialogue box that can be used without an interpreter. The system detects sign language of a deaf person by capturing hand images with a camera. The images are pre-processed and the histograms of oriented gradients (HOG) are extracted as image features. A multi-class support vector machine uses the HOGs as inputs to classify the alphabets. The vocal reply from a hearing person is received through a microphone and interpreted via Google cloud speech API. Both parts are processed by a microcomputer to produce messages of the conversation. The dialogue is displayed on the graphical user interface. The system can also record the conversation logs into the database.\",\"PeriodicalId\":188498,\"journal\":{\"name\":\"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEAST.2019.8802596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAST.2019.8802596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conversations between a person with severe hearing impairment and a hearing person is difficult because people who know sign language are rare. Therefore, to facilitate the conversation, we design and develop a portable dialogue box that can be used without an interpreter. The system detects sign language of a deaf person by capturing hand images with a camera. The images are pre-processed and the histograms of oriented gradients (HOG) are extracted as image features. A multi-class support vector machine uses the HOGs as inputs to classify the alphabets. The vocal reply from a hearing person is received through a microphone and interpreted via Google cloud speech API. Both parts are processed by a microcomputer to produce messages of the conversation. The dialogue is displayed on the graphical user interface. The system can also record the conversation logs into the database.