@inproceedings{kowalski2019,
Author = {Kowalski, Christian and Blohm, Kolja and Weiß, Sebastian and Pfingsthorn, Max and Gliesche, Pascal and Hein, Andreas},
Title = {Multi low-resolution infrared sensor setup for privacy-preserving unobtrusive indoor localization},

Year = {2019},
Pages = {183-188},
Booktitle = {ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health},
Doi = {10.5220/0007694601830188},
type = {inproceedings},
Abstract = {The number of home intensive care patients is increasing while the number of nursing staff is decreasing at the same time. To counteract this problem, it is necessary to take a closer look at safety-critical scenarios such as long-term home ventilation to provide relief. One possibility for support in this case is the exact localization of the affected person and the caregiver. A wide variety of sensors can be used to remedy this problem. Since the privacy of the patient should not be disturbed, it is important to find unobtrusive solutions. For this specific application, low-resolution infrared sensors - which are unable to invade the patient's privacy due to the low amount of sensor data information - can be used. The objective of this work is to create a basis for an inexpensive, privacy-preserving indoor localization system through the use of multiple infrared sensors, which can be for example used to support long-term home ventilated patients. The results show that such localization is possible by utilizing a support vector machine for classification. For the described scenario, a specific sensor layout was chosen to ensure the highest possible area coverage with a minimum amount of sensor installations.}
}
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