TY - GEN
T1 - Multi-Channel Biometrics for eHealth Combining Acoustic and Machine Vision Analysis of Speech, Lip Movement and Face
T2 - 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019
AU - Spanakis, Emmanouil G.
AU - Crucianu, Iacob
AU - Kockmann, Marcel
AU - Petrovska-Delacrétaz, Dijana
AU - Mtibaa, Aymen
AU - Narr, Christian
AU - Takacs, Daniel
AU - Bauzou, Claude
AU - Hmani, Mohamed Amine
AU - Hajiyev, Elnar
AU - Karantanas, Apostolos
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - The purpose of this work is to present a solution combining user-friendliness and cost-effectiveness use of audio (speech) visual (video/image) biometrics, for eHealth, able to achieve better accuracy and increase the ability to avoid counterfeiting. This work shows the evaluation results for an eHealth pilot study that tested the security, privacy, usability and cost-effective features of a user authentication platform for the management of sensitive heterogeneous multi-scale medical data (i.e. medical imaging such as MRI/CT scans, physical reports, and laboratory results), through easy acquisition of biometric data via laptops, and tablets equipped with cameras and microphones. Regarding the user enrollment and verification, audio-visual biometric information from an individual is captured, processed and stored as a biometric template. In subsequent uses, biometric information is captured and compared with the biometric templates. If the comparison is successful the verified user could be allowed to sign in to a medical collaboration platform of the hospitals infrastructure. In this work we present the biometric platform developed, the testing methodology and the administrative framework and legal processes, related to GDPR, for the eHealth pilot study and the results from our quantitative and qualitative analysis that was performed.
AB - The purpose of this work is to present a solution combining user-friendliness and cost-effectiveness use of audio (speech) visual (video/image) biometrics, for eHealth, able to achieve better accuracy and increase the ability to avoid counterfeiting. This work shows the evaluation results for an eHealth pilot study that tested the security, privacy, usability and cost-effective features of a user authentication platform for the management of sensitive heterogeneous multi-scale medical data (i.e. medical imaging such as MRI/CT scans, physical reports, and laboratory results), through easy acquisition of biometric data via laptops, and tablets equipped with cameras and microphones. Regarding the user enrollment and verification, audio-visual biometric information from an individual is captured, processed and stored as a biometric template. In subsequent uses, biometric information is captured and compared with the biometric templates. If the comparison is successful the verified user could be allowed to sign in to a medical collaboration platform of the hospitals infrastructure. In this work we present the biometric platform developed, the testing methodology and the administrative framework and legal processes, related to GDPR, for the eHealth pilot study and the results from our quantitative and qualitative analysis that was performed.
KW - RIS/PACS
KW - access control
KW - biometrics
KW - eHealth
KW - evaluation study
KW - face recognition
KW - pilot
KW - speaker recognition
UR - https://www.scopus.com/pages/publications/85082005794
U2 - 10.1109/IST48021.2019.9010457
DO - 10.1109/IST48021.2019.9010457
M3 - Conference contribution
AN - SCOPUS:85082005794
T3 - IST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
BT - IST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2019 through 10 December 2019
ER -