Skip to Main content Skip to Navigation
Theses

Reconnaissance de gestes et communication intra-corps sécurisée

Abstract : This thesis presents the development of a new biometrics approach based on IntraBody Communication (IBC). The human body is seen as a transmission medium for the electric signals. Is that transmission medium discriminant enough in order to use it as a biometric identifier? The hypothesis is that the body and its mouvments can modulate a signal in a specific way and it can contribute to creating an individual signature. For instance, it could be used to secure transfers like payments. Three main components have been studied. The first one is a bibliographic analysis. In studying what already exists in diffrent fields, the idea here is to create a prototype that can measure the signals modified by the human body. This prototype is the key to success, because all the results depend on the quality of that receiver. The next component is to study the received signal measured by the prototype we created during the approach phase of the hand toward the emitter. IntraBody Communication is seen as a behavioural biometrics in this part. The signature is based on the hand motion. The last part is more about the physiological properties of the human body. Is it possible to find specific characteristics, in the signal measured by the prototpye, in order to identify or authenticate someone? The human body is studied as a static system and we attempt to characterize it with some classical methods.
Complete list of metadata

https://hal.univ-lorraine.fr/tel-03229158
Contributor : Thèses Ul Connect in order to contact the contributor
Submitted on : Tuesday, May 18, 2021 - 5:06:14 PM
Last modification on : Saturday, October 16, 2021 - 11:14:16 AM

File

DDOC_T_2021_0050_HUET.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : tel-03229158, version 1

Citation

Romain Huët. Reconnaissance de gestes et communication intra-corps sécurisée. Automatique / Robotique. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0050⟩. ⟨tel-03229158⟩

Share

Metrics

Record views

73

Files downloads

169