關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Indoor Localization and Navigation Using Smartphone Sensory Data

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序號 學年期 教師動態
1 106/2 資工系 許輝煌 教授 期刊論文 發佈 Indoor Localization and Navigation Using Smartphone Sensory Data , [106-2] :Indoor Localization and Navigation Using Smartphone Sensory Data期刊論文Indoor Localization and Navigation Using Smartphone Sensory DataHui-Huang Hsu; Jung-Kuei Chang; Wei-Jan Peng; Timothy K. Shih; Tun-Wen Pai; Ka Lok ManPedestrian dead reckoning;Indoor localization;Ambient intelligence;Smartphone applicationsAnnals of Operations Research, 265(2), 187-204In the cloud age, it is quite easy to collect sensory data from smartphones. With these sensory data, it is desired to provide various kinds of applications to serve the user. In this research, we aim at developing an indoor navigation system on smartphone using solely smartphone sensory data. There are many researches on indoor localization and navigation in the literature. Nevertheless, environmental sensors and/or wearable sensors are usually needed. This can be costly and inconvenient. In this paper, we propose a smartphone indoor localization system using only accelerometer and gyroscope data from the smartphone. The Pedestrian Dead
2 105/1 資工系 許輝煌 教授 期刊論文 發佈 Indoor Localization and Navigation Using Smartphone Sensory Data , [105-1] :Indoor Localization and Navigation Using Smartphone Sensory Data期刊論文Indoor Localization and Navigation Using Smartphone Sensory DataHui-Huang Hsu; Jung-Kuei Chang; Wei-Jan Peng; Timothy K. Shih; Tun-Wen Pai; Ka Lok ManPedestrian dead reckoning;Indoor localization;Ambient intelligence;Smartphone applicationsAnnals of Operations Research 265(2) p.187-204In the cloud age, it is quite easy to collect sensory data from smartphones. With these sensory data, it is desired to provide various kinds of applications to serve the user. In this research, we aim at developing an indoor navigation system on smartphone using solely smartphone sensory data. There are many researches on indoor localization and navigation in the literature. Nevertheless, environmental sensors and/or wearable sensors are usually needed. This can be costly and inconvenient. In this paper, we propose a smartphone indoor localization system using only accelerometer and gyroscope data from the smartphone. The Pedestria
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