Pratiarso, Aries and Imanuddin, Achmad Ilham and Yuliana, Mike and Kristalina, Prima and Astawa, I Gede Puja (2017) Implementation of Kalman Filter Method for Tracking Position of Alzheimer’s Patients. In: Proceedings of 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS 2017), 08 November 207, Yogyakarta.
Full text not available from this repository.Abstract
Identification of positions can facilitate the tracking targets in certain observation areas. The emergence of beacon technology that based on Bluetooth Low Energy (BLE) facilitates the tracking targets in the building (indoor environment). In this paper, we propose tracking system for Alzheimer's patients in hospitals uses beacon technology as a wireless communication medium and Kalman method as data estimator. The experimental results show that the system has been able to track the position of Alzheimer's patients accurately, in which the most optimal position track results obtained when the process noise (Q) 0.1 and noise measurement (R) 0.01 with the average percentage of error only 7.01 % of the actual position.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | tracking; BLE; indoor; Kalman Filter |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 600 Technology (Applied Sciences) > 610 Medicine and Health > 613 Personal Health and Safety |
| Divisions: | Universitas Multimedia Nusantara |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 07 Mar 2018 08:03 |
| Last Modified: | 11 Jan 2023 06:27 |
| URI: | https://kc.umn.ac.id/id/eprint/2796 |
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