{"title":"Handwritten character recognition using orientation quantization based on 3D accelerometer","authors":"ShiQi Zhang, C. Yuan, Yan Zhang","doi":"10.4108/ICST.MOBIQUITOUS2008.3898","DOIUrl":"https://doi.org/10.4108/ICST.MOBIQUITOUS2008.3898","url":null,"abstract":"This paper presents an online handwritten character recognition system. The whole system includes three parts: acceleration signal detection, signal processing and recognition by Hidden Markov Model (HMM). In hardware aspect, a mini-board with a three-dimensional accelerometer and a microcontroller is used to get real time acceleration values and send them to a terminal continuously. After effective section extraction and lowpass filtering, different quantizing methods based on acceleration orientation are used to quantize numerous data into small integral vectors. At last, we use HMM to do the recognition. For the experiments with 10 Arabic numerals, this system shows a high Recognition Rate (R.R.) of 94.29% in the database of 42 models for every Arabic numeral. This system could be used to reduce the size of handheld devices by discarding number keys and make human computer interaction more convenient and interesting.","PeriodicalId":261145,"journal":{"name":"Proceedings of the 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128868205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sharing mobile user experiences with context-based mashups","authors":"Luca Costabello, Oscar Rodríguez Rocha, L. Goix","doi":"10.1145/1594978.1595027","DOIUrl":"https://doi.org/10.1145/1594978.1595027","url":null,"abstract":"We describe two mashups based on context data and multimedia content retrieved from a client application running on mobile devices. This information is processed by our Context Aware Platform that provides specific APIs to deliver context data to our mashups. \u0000 \u0000First of all, these APIs enable context tagging of pictures and videos acquired by the users. Machine tags are adopted in order to enable context-filtered representation of pictures and videos on our content management system. \u0000 \u0000Moreover, platform APIs are used to gather context information that is analyzed by ad-hoc clustering algorithms to detect the users' daily actions. We therefore automatically generate structured blog posts that describe the users' day. The same information is represented as video blogs, too.","PeriodicalId":261145,"journal":{"name":"Proceedings of the 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116453144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}