20.500.12556/RUL-135023 A one-dimensional non-intrusive and privacy-preserving identification system for households In many ambient-intelligence applications, including intelligent homes and cities, awareness of an inhabitant’s presence and identity is of great importance. Such an identification system should be non-intrusive and therefore seamless for the user, especially if our goal is ubiquitous and pervasive surveillance. However, due to privacy concerns and regulatory restrictions, such a system should also strive to preserve the user’s privacy as much as possible. In this paper, a novel identification system is presented based on a network of laser sensors, each attached on top of the room entry. Its sensor modality, a one-dimensional depth sensor, was chosen with privacy in mind. Each sensor is mounted on the top of a doorway, facing towards the entrance, at an angle. This position allows acquiring the user’s body shape while the user is crossing the doorway, and the classification is performed by classical machine learning methods. The system is non-intrusive, non-intrusive and preserves privacy—it omits specific user-sensitive information such as activity, facial expression or clothing. No video or audio data are required. The feasibility of such a system was tested on a nearly 4000-person, publicly available database of anthropometric measurements to analyze the relationships among accuracy, measured data and number of residents, while the evaluation of the system was conducted in a real-world scenario on 18 subjects. The evaluation was performed on a closed dataset with a 10-fold cross validation and showed 98.4% accuracy for all subjects. The accuracy for groups of five subjects averaged 99.1%. These results indicate that a network of one-dimensional depth sensors is suitable for the identification task with purposes such as surveillance and intelligent ambience. one-dimensional depth sensor biometrics identification machine learning true false true Angleški jezik Ni določen Članek v reviji 2022-02-17 14:34:59 2022-02-17 14:34:59 2022-09-14 04:11:14 0000-00-00 00:00:00 2021 0 0 21 str. iss. 5, art. 559 Vol. 10 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8 2079-9292 10.3390/electronics10050559 54936323 RAZ_Kompara_Tomaz_2021.pdf RAZ_Kompara_Tomaz_2021.pdf 1 42B6116CACF81CFEA402B55B00CFAC10 379bc0453441528bdd7ae07f68cbbe375b7c82b898f57b51e9beccc3e1b220a6 758d5fc2-8ff6-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153848 https://www.mdpi.com/2079-9292/10/5/559 0 4f031ee6-8ff6-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153847 Fakulteta za elektrotehniko 0 0 0