HANDGEOMETRY. Hand biometrics on android.

Biometric system verification based on hand geometry oriented to mobile devices

The Group of Biometrics, Biosignals and Security (GB2S) within Centro de Domótica Integral (CeDInt) from Technical University of Madrid has developed a fast and reliable biometric verification system oriented to mobile devices. The system is able to verify an individual based on a hand picture taken by a mobile phone. Main advantages rely on not requiring any contact flat surface, few constraints when carrying out the hand acquisition and a certain resistance against biometric attacks, such as tamper biometrics or spoofing attacks. The proposed system is able to perfom a verification within less than 2 seconds in a standard mobile device (smartphone) with an accuracy of 98%, being also able to achieve false acceptance rates close to 0%, which means a great acceptanceby the final user


BIO-STRESS. Real-time stress detection system

Low computational cost software for detecting the stress level of an individual in real time.

The Group of Biometrics, Biosignals and Security (GB2S) within Centro de Domótica Integral (CeDInt) from Technical University of Madrid (UPM) has developed a stress-detection system to provide information on the state of mind of an individual for real-time applications and designing a low computational cost implementation. This detection is of great interest for applications requiring a good preparation in high stress demand situations (such as training special forces) or a complement to existing security (as in the case of biometrics, road safety or automation). The method requires only two physiological signals (heart rate and galvanic skin response) and just easily integrated and noninvasive sensors, resulting in wide acceptance and usability by the individual. The stressdetection accuracy obtained is 99%.


IN-AIR SIGNATURE. Security verification on smartphones.

Software based solution to verify people through performing an identification hand movementholding a Smartphone.

Biometrics, Biosignal and Security Group (GB2S), located within the integrated Domotics Center (CeDInt) of the Technological University of Madrid (UPM), has developed a biometric verification system of people through their smartphones. For verification, people have to make a gesture in the air while holding mobile phone in hand. This gesture identification can be invented by people, who can also select their handwritten signature made ​​in three dimensions. The results obtained by this method achieved accuracy rates close to 98% against forgery in several experiments in which was recorded and analyzed a person performing his signature in the air. This result greatly improves current verification systems for mobile phones, where, if it were to record a person writing his PIN, the verification system would break.


Data Command & Control: Sistema de control de acceso a información.

Software que permite, a través de la ralentización, gestionar el acceso a la información según el perfil de usuario.

El grupo de Biometría, Bioseñales y Seguridad (GB2S) de la Universidad Politécnica de Madrid (UPM) ha desarrollado un sistema de ralentización o control de la disposición de la información. Por medio de dicho sistema se desliga la posesión de la información, de la disposición de la misma, así se puede tener o poseer una información pero no ser capaz de disponer o acceder a ella. Esta particularidad permite generar una serie de relaciones contractuales y mercantiles, legales, administrativas y de permisos –ámbitos de seguridad y de disposición-, así como de control de datos y utilización de los mismos, que actualmente no existe. La información es troceada en bloques cifrados, ofreciéndose un amplio manojo de llaves o claves –sólo una será válida para cada bloque de información- para descifrar cada trozo o bloque cifrado. El sistema permite ir disponiendo de forma automática a la información de manera progresiva.

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Grup of Biometrics, Biosignals and Security (GB2S)