Sensor Based Algorithms for Dead Reckoning: A comparison of two approaches for smartphones
| dc.contributor.author | Caspari, Daniel | |
| dc.contributor.author | Strutu, Mircea | |
| dc.contributor.author | Riedhammer, Lucas | |
| dc.contributor.author | Grossmann, Uwe | |
| dc.date.accessioned | 2018-07-18T11:11:11Z | |
| dc.date.available | 2018-07-18T11:11:11Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | The implementation of a reliable indoor localization system can be the starting point for a variety of much desired applications. Either for efficient patient monitoring inside a hospital or as an automatic guide inside a museum, a working localization solution can be useful. Smartphone technology represents a powerful and user friendly tool in order to achieve adequate indoor positioning. This paper explores the potential of using smartphone sensor data (accelerometer and compass) in order to track the location of the person holding the device using dead reckoning algorithms. Two different approaches are under scrutiny in order to assess their performance in different real life inspired scenarios. | uk_UA |
| dc.identifier.citation | Caspari, D. Sensor Based Algorithms for Dead Reckoning: A comparison of two approaches for smartphones [Text] [Text] / Daniel Caspari, Mircea Strutu, Lucas Riedhammer, Uwe Grossmann // Computing. - 2014. - Vol. 13, is. 1. - P. 50-60. | uk_UA |
| dc.identifier.uri | http://dspace.tneu.edu.ua/handle/316497/30669 | |
| dc.publisher | Ternopil | uk_UA |
| dc.subject | Smartphone based indoor localization | uk_UA |
| dc.subject | dead reckoning | uk_UA |
| dc.subject | accelerometer sensors | uk_UA |
| dc.subject | fft | uk_UA |
| dc.subject | peak detection | uk_UA |
| dc.subject | smartphone | uk_UA |
| dc.subject | distance | uk_UA |
| dc.subject | indoor | uk_UA |
| dc.subject | positioning | uk_UA |
| dc.title | Sensor Based Algorithms for Dead Reckoning: A comparison of two approaches for smartphones | uk_UA |
| dc.type | Article | uk_UA |