@inproceedings{0006709dacd84e15a260756115f29da5,
title = "An IoT-LoRa System for Tracking a Patient with a Mental Disorder: Correlation between Battery Capacity and Speed of Movement",
abstract = "This paper investigates the performance of battery capacity in the proposed IoT-LoRa device to track and monitor a patient with a mental disorder. Reduction of battery capacity was correlated against the movement speed of users. Three experimental scenarios were conducted for a patient moving at 1-3 km/h, 5-8 km/h, and 1-30 km/h. The real time data were taken from two multinode LoRa units at 10 different locational points with a time interval of 30 minutes. The experiment had 113 data iterations to determine percentage of battery capacity and RSSI level. It was found that the faster a patient is moving, the greater the capacity of the battery reduces.",
keywords = "Battery Capacity, IoT, LoRa{\textregistered}, Mental Disorder, Speed Measurement, Technology",
author = "Nugraha, {Aswin Tresna} and Rianto Wibowo and Muhammad Suryanegara and Nur Hayati",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th International Conference on Computer and Communication Engineering, ICCCE 2018 ; Conference date: 19-09-2018 Through 20-09-2018",
year = "2018",
month = nov,
day = "16",
doi = "10.1109/ICCCE.2018.8539316",
language = "English",
series = "Proceedings of the 2018 7th International Conference on Computer and Communication Engineering, ICCCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "198--201",
booktitle = "Proceedings of the 2018 7th International Conference on Computer and Communication Engineering, ICCCE 2018",
address = "United States",
}