In recent years, smartphones experienced a fast technological growth, approaching its computational capacity to personal computers. In addition to that, new hardware and sensors are being incorporated into these devices. The smart phone's embedded sensors are a low cost solution that allows interactions between humans, computers and the environment. Examples include applications designed to identify the user's location by GPS receiver, games that use accelerometers and/or gyroscope, Wi-Fi and Bluetooth antennas that exchange information between users, microphones that perceive user's gestural movements, and so on. This paper presents a study of the various smartphones sensors, detailing their operation and identifying their main features, advantages, drawbacks, and potential of use for indoor location. We analyzed smartphones sensitive to sound, Wi-Fi, magnetic field, 3-dimensional linear acceleration and angular velocity. This study presented - as the ideal solution - a fusion of sensors to complement individual skills and to improve the information accuracy regarding the device's rotation and translation.
{"title":"Study of Sensors Embedded in Smartphones for Use in Indoor Localization","authors":"Ivan Jorge Boesing, T. R. D. Silva, L. Nedel","doi":"10.1109/SVR.2013.42","DOIUrl":"https://doi.org/10.1109/SVR.2013.42","url":null,"abstract":"In recent years, smartphones experienced a fast technological growth, approaching its computational capacity to personal computers. In addition to that, new hardware and sensors are being incorporated into these devices. The smart phone's embedded sensors are a low cost solution that allows interactions between humans, computers and the environment. Examples include applications designed to identify the user's location by GPS receiver, games that use accelerometers and/or gyroscope, Wi-Fi and Bluetooth antennas that exchange information between users, microphones that perceive user's gestural movements, and so on. This paper presents a study of the various smartphones sensors, detailing their operation and identifying their main features, advantages, drawbacks, and potential of use for indoor location. We analyzed smartphones sensitive to sound, Wi-Fi, magnetic field, 3-dimensional linear acceleration and angular velocity. This study presented - as the ideal solution - a fusion of sensors to complement individual skills and to improve the information accuracy regarding the device's rotation and translation.","PeriodicalId":189272,"journal":{"name":"2013 XV Symposium on Virtual and Augmented Reality","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834199","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}
This article describes the development of a low cost data glove called FlexDglove. This system was designed for virtual reality applications and includes an integrated virtual hand simulator. The development steps are described and also a set of preliminary results about the use of this glove.
{"title":"FlexDGlove: A Low Cost Dataglove with Virtual Hand Simulator for Virtual Reality Applications","authors":"L. Pereira, R. Aroca, R. Dantas","doi":"10.1109/SVR.2013.34","DOIUrl":"https://doi.org/10.1109/SVR.2013.34","url":null,"abstract":"This article describes the development of a low cost data glove called FlexDglove. This system was designed for virtual reality applications and includes an integrated virtual hand simulator. The development steps are described and also a set of preliminary results about the use of this glove.","PeriodicalId":189272,"journal":{"name":"2013 XV Symposium on Virtual and Augmented Reality","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121735276","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}
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