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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beomju Shin Jung Ho Lee Hyunho Lee Eungyeong Kim Jeahun Kim Seok Lee Young-su Cho Sangjoon Park Taikjin Lee |
| Copyright Year | 2012 |
| Description | Author affiliation: Electronics and Telecommunication Research Institute, Vehicle/Ship-IT Convergence Research Department, Positioning Information Technology Research Team (Young-su Cho; Sangjoon Park) || Sensor System Research Center, Korea Institute of Science and Technology (KIST), Seoul, Korea (Beomju Shin; Jung Ho Lee; Hyunho Lee; Eungyeong Kim; Jeahun Kim; Seok Lee; Taikjin Lee) |
| Abstract | In this paper, we develop the indoor navigation system based on PDR (Pedestrian Dead Reckoning) using various sensors in smartphone. Usually PDR is consisted of step detection, step length estimation and heading estimation. The issue of PDR is step length estimation and to enhance the accuracy of step length, we apply the walking status recognition algorithm using ANN (Artificial Neuron Network). The features used in ANN are extracted through sensor signals of accelerometer and gyroscope. After recognizing the walking status, it is applied to estimate the step length. And when the status is recognized as stop, even if sensor signal is generated by redundant motion or movement of pedestrian, the moved distance is not calculated additionally and distance error is not increased. We use the barometric pressure sensor to extend the positioning area to whole building. To verify the proposed indoor navigation system, we implemented the application for android and conducted the experiment. Through the results, we demonstrated the accuracy of our system. |
| Starting Page | 1442 |
| Ending Page | 1445 |
| File Size | 1129705 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467322478 |
| e-ISBN | 9788993215045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-17 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | ICROS |
| Subject Keyword | Legged locomotion Accelerometers Indoor navigation system ANN Navigation Estimation Artificial neural networks Gyroscopes android smartphone Floors PDR |
| Content Type | Text |
| Resource Type | Article |
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