In-Bed Person Monitoring Using Thermal Infrared Sensors

• Autorzy: Josse Elias , Nerborg Amanda , Hernandez Diaz Kevin , Alonso-Fernandez Fernando

Identyfikatory

DOI

10.15439/2021F15

• Konferencja: Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
• Języki publikacji: EN

Abstrakty

EN

Technological solutions involving cameras can contribute to safety in home and healthcare, but they pose privacy issues. We use a low-resolution infrared thermopile array sensor, which offers more privacy, to determine if the user is on the bed. Two datasets were captured, one under constant conditions, and a second one under different variations. We test three machine learning algorithms under 10-fold cross validation, with the highest accuracy in the main dataset being 99%. The results with variable data show a lower reliability under certain circumstances, highlighting the need of extra work to meet the challenge of variations in the environment.

Słowa kluczowe

EN

geriatrics; health care; image resolution; infrared detectors; neural nets; sensor array; support vector machine

PL

geriatria; opieka zdrowotna; rozdzielczość obrazu; detektory podczerwieni; sieci neuronowe; tablice czujników; maszyny wektorów pomocniczych

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 25
• Strony: 121--125
• Opis fizyczny: Bibliogr. 17 poz., il., wykr.

Twórcy

autor

Josse Elias

• School of Information Technology (ITE), Halmstad University, Sweden

autor

Nerborg Amanda

• School of Information Technology (ITE), Halmstad University, Sweden

autor

Hernandez Diaz Kevin

• School of Information Technology (ITE), Halmstad University, Sweden

autor

Alonso-Fernandez Fernando

• School of Information Technology (ITE), Halmstad University, Sweden

Bibliografia

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Uwagi

1. Track 1: Artificial Intelligence in Applications

2. Session: 15th International Symposium Advances in Artificial Intelligence and Applications

3. Short Paper