BioREDs project presentation
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We are two students of biomedical engineering at Politecnico di Milano. We present our project about biometric recognition and emotion detection using PPG signal.
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State of Art analysis
The state of art analysis of our project BioREDs is shown in these slides.
Here's some information about the studies which have been carried out about PPG in biometric recognition systems.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
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Identifying attackers is a major apprehension to both organizations and governments. Recently, the most
used applications for prevention or detection of attacks are intrusion detection systems. Biometrics
technology is simply the measurement and use of the unique characteristics of living humans to distinguish
them from one another and it is more useful as compare to passwords and tokens as they can be lost or
stolen so we have choose the technique biometric authentication. The biometric authentication provides the
ability to require more instances of authentication in such a quick and easy manner that users are not
bothered by the additional requirements. In this paper, we have given a brief introduction about
biometrics. Then we have given the information regarding the intrusion detection system and finally we
have proposed a method which is based on fingerprint recognition which would allow us to detect more
efficiently any abuse of the computer system that is running.
Biometric technology 2023 report.pdf
This document discusses biometric technology systems. It defines biometrics as using personal characteristics like fingerprints to authenticate or identify individuals. Biometric systems work by collecting data to create templates that can then be used to quickly verify identities by comparing to large databases. Biometric systems are used for applications like law enforcement, government services, and enterprise because they provide convenient, reliable and fast identification compared to traditional methods. The document also outlines the history of biometrics, common types of biometrics like fingerprints and facial recognition, and advantages and disadvantages of biometric systems.
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Poster on biometrics
1. The document discusses how biometrics can enhance network security by providing unique authentication through physical traits like fingerprints, iris scans, and voice patterns.
2. Biometric systems work by enrolling users through capturing traits, storing trait data, and comparing new trait inputs to what is on file for authentication.
3. Common biometric technologies discussed are fingerprints, iris scanning, handwriting analysis, voiceprints, vein patterns, which can all uniquely identify individuals for security purposes. The document argues that biometrics provide more secure authentication than passwords.
Biometrics poster
Network security is enhanced through biometrics authentication which uses unique physical traits to verify user identity. Biometrics is more secure than passwords since traits cannot be forgotten, stolen, or easily copied. The document discusses common biometric traits like fingerprints, iris scans, and voice recognition. It explains how biometric systems work by enrolling traits during initial use then comparing submitted traits to stored information for authentication. Biometrics provides stronger security for networks and systems by using the human body as a verification method.
A04820104
This document discusses a proposed approach to fuse iris and fingerprint images for multimodal biometrics identification and cryptographic key generation. It involves extracting features from the iris and fingerprint images, fusing the features to create a multimodal biometric template, and then generating a cryptographic key from the fused features for added security. The approach aims to improve accuracy over unimodal biometrics and protect the biometric template from being hacked by an intruder.
Recommended
State of Art analysis
The state of art analysis of our project BioREDs is shown in these slides.
Here's some information about the studies which have been carried out about PPG in biometric recognition systems.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
BIOMETRICS AUTHENTICATION TECHNIQUE FOR INTRUSION DETECTION SYSTEMS USING FIN...
Identifying attackers is a major apprehension to both organizations and governments. Recently, the most
used applications for prevention or detection of attacks are intrusion detection systems. Biometrics
technology is simply the measurement and use of the unique characteristics of living humans to distinguish
them from one another and it is more useful as compare to passwords and tokens as they can be lost or
stolen so we have choose the technique biometric authentication. The biometric authentication provides the
ability to require more instances of authentication in such a quick and easy manner that users are not
bothered by the additional requirements. In this paper, we have given a brief introduction about
biometrics. Then we have given the information regarding the intrusion detection system and finally we
have proposed a method which is based on fingerprint recognition which would allow us to detect more
efficiently any abuse of the computer system that is running.
Biometric technology 2023 report.pdf
This document discusses biometric technology systems. It defines biometrics as using personal characteristics like fingerprints to authenticate or identify individuals. Biometric systems work by collecting data to create templates that can then be used to quickly verify identities by comparing to large databases. Biometric systems are used for applications like law enforcement, government services, and enterprise because they provide convenient, reliable and fast identification compared to traditional methods. The document also outlines the history of biometrics, common types of biometrics like fingerprints and facial recognition, and advantages and disadvantages of biometric systems.
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Poster on biometrics
1. The document discusses how biometrics can enhance network security by providing unique authentication through physical traits like fingerprints, iris scans, and voice patterns.
2. Biometric systems work by enrolling users through capturing traits, storing trait data, and comparing new trait inputs to what is on file for authentication.
3. Common biometric technologies discussed are fingerprints, iris scanning, handwriting analysis, voiceprints, vein patterns, which can all uniquely identify individuals for security purposes. The document argues that biometrics provide more secure authentication than passwords.
Biometrics poster
Network security is enhanced through biometrics authentication which uses unique physical traits to verify user identity. Biometrics is more secure than passwords since traits cannot be forgotten, stolen, or easily copied. The document discusses common biometric traits like fingerprints, iris scans, and voice recognition. It explains how biometric systems work by enrolling traits during initial use then comparing submitted traits to stored information for authentication. Biometrics provides stronger security for networks and systems by using the human body as a verification method.
A04820104
This document discusses a proposed approach to fuse iris and fingerprint images for multimodal biometrics identification and cryptographic key generation. It involves extracting features from the iris and fingerprint images, fusing the features to create a multimodal biometric template, and then generating a cryptographic key from the fused features for added security. The approach aims to improve accuracy over unimodal biometrics and protect the biometric template from being hacked by an intruder.
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rring of useable data, for example a sensor in a room to monitor and control the temperature. It is estimated
that by 2020 there will be about 50 billion internet-enabled devices. The Internet of things presently is being used
in the fields of automobiles, agriculture, security surveillance, building management, smart-homes, and health
care. The IOT expects to use low-cost computing devices where there is less energy consumption impact to the environment[1]. and limited
This paper aims to describe a way for giving security to IT companies, scouting units, business organizations and
volunteer groups. Among the person identification methods, face recognition is known to be the most natural
ones, since the face modality is the modality that uses to identify people in everyday lives. This face detection
differentiates faces from non-faces and is therefore essential for accurate security. The other strategy involves face
recognition for marking the employees. The Raspberry pi module is used for face detection & recognition. The
camera will be connected to the Raspberry pi module. The employees database is collected. The database includes
name of the employees, there images & ID number[2].
This RFID reader module will be installed at the front side of organizations in such a way that all employees
provided by the RFID cards. Raspberry pi system have the database of the employees so comparing the database if
employees details are matched employ can entered into company. Thus with the help of this system, time will be
saved and it is so convenient to record employees. And the details of the employees will be sent to the
corresponding head of organization using IOT technologyBiometrics/fingerprint sensors
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of biometrics are improving rapidly, making many new applications possible, particularly for fingerprinting in phones. Improvements in cameras and other electronics are making optical, capacitive, and ultrasound sensors better. Improvements in microprocessors are making the matching algorithms operate faster and with higher accuracy. We expect biometrics to become widely used in the next few years beginning with smart phones and followed by automobiles, homes, and offices. Better biometrics in smart phones will promote security and mobile commerce.
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2. The system can operate in two modes - automatically tracking targets using image processing algorithms or allowing manual control by the user to select and shoot targets if needed.
3. The process involves using a video camera to capture footage, selecting targets for tracking using image processing techniques like morphological operations, and having a microcontroller decide whether to shoot unauthorized people or activities detected within range by moving the mounted gun and camera.
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The document provides an introduction to biometrics, which are automated methods of recognizing a person based on physiological or behavioral characteristics like fingerprints, face, iris, retina, hand geometry, signature, and voice. It discusses different biometric modalities, applications, types of sensors, the biometric system process, how some biometric technologies like fingerprint and facial scanners work, barriers to biometrics adoption, and companies involved in different biometric technologies.
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The document discusses remote biometric identification systems for law enforcement use as defined in the EU's proposed AI regulation. It provides definitions of key terms like remote biometric identification, biometric data, and real-time and post systems. Remote biometric ID systems that identify people at a distance in public spaces for law enforcement purposes are considered prohibited, but exceptions allow real-time systems to be used for targeted searches, preventing threats, or detecting/prosecuting suspects of serious crimes. However, critics argue the exceptions are broad and could be abused.
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ones, since the face modality is the modality that uses to identify people in everyday lives. This face detection
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recognition for marking the employees. The Raspberry pi module is used for face detection & recognition. The
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name of the employees, there images & ID number[2].
This RFID reader module will be installed at the front side of organizations in such a way that all employees
provided by the RFID cards. Raspberry pi system have the database of the employees so comparing the database if
employees details are matched employ can entered into company. Thus with the help of this system, time will be
saved and it is so convenient to record employees. And the details of the employees will be sent to the
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When it comes to security, we cannot overlook the concept of uniqueness. When we mention uniqueness, what comes to mind in everyone is the uniqueness that exists in every human being. This article explains the security of Cloud Computing through biometric features such as fingerprints, eye iris, retina, etc. First, the characteristics of the fingerprints that make each fingerprint unique and the sensors with which they are read are analyzed. Next, the steps of a fingerprint recognition algorithm and the disadvantages of such a system are analyzed. At the end of the article, an evaluation is made at the security level of the fingerprint recognition system.
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2. The system can operate in two modes - automatically tracking targets using image processing algorithms or allowing manual control by the user to select and shoot targets if needed.
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Similar to BioREDs project presentation (9)
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- 1. 1 Biometric Recognition and Emotion Detection System Sara Bridio Giulia Core
- 2. 2 Security Comfort Context Two fields of application (*) www.dday.it (**) www..mdpi.com (*) (**)
- 3. Tools 3www.mi.com MI bracelet: a non-invasive way to extract biometric signals.
- 4. 4(*) www.google.com/patents/US20130324814 Photoplethysmography Tools (*) PPG signal Blood flow volume Pulse rate & Blood pressure
- 5. Work organization 5 •Signal recording (**) www.mi.com(*) T. Tamura, Y. Maeda , M. Sekine and M. Yoshida, WearablePhotoplethysmographicSensors—Past and Present (*) (**) Optical detection LED Photodetector Light source Reflectance mode Measures variations of reflected radiation
- 6. Work organization 6 •Signal recording •Signal processing and filtering (*) www.mdpi.com (*) (*) Removal of motion artifacts and other noises
- 7. Work organization 7 •Signal recording •Signal processing and filtering •Signal’s features drawing Linked to the specific individual Linked to the emotional state
- 8. 8 Aims Bluetooth 4.0 communication as a step of individual authentication before accessing reserved areas or data an interface from which the user can provide his feelings, in order to verify or correct the processing results Android APP
- 9. 9(*) honeywell.com Applied to Smart Buildings (*) SECURITY Giving access to private areas or data only to people having the appropriate rights COMFORT Creating comfortable living conditions, in order to improve the workers’ wellness and productivity
- 10. Contacts coregiulia@gmail.com sara.bridio@mail.polimi.it Emails Facebook Twitter https://www.facebook.com/bioreds.project/ Politecnico di Milano, NECST lab, DEIB, building 20, via Ponzio, 34/5, 20133, Milano https://twitter.com/BioREDs_necst bioreds.necst@gmail.com
Editor's Notes
- Nostro progetto, in particolare riguarda due ambiti
- PPG: Registra le variazioni di assorbimento della luce da parte dei tessuti in relazione alla perfusione del sangue nei tessuti;
- Sensore, led, a riflessione + problemi: artefatti da movimento
- Attraverso filtraggio e elaborazione
- Obiettivo: Robusto strumento di riconoscimento biometrico. Implementazione su app o su sensore per accesso Comfort stanza feedback gruppo di lavoro
- Obiettivo: Robusto strumento di riconoscimento biometrico. Implementazione su app o su sensore per accesso Comfort stanza feedback gruppo di lavoro