Andreas Braun

Andreas Braun
Fraunhofer Institute for Computer Graphics Research IGD | IGD · Smart Living & Biometric Technologies Competence Center

Dr.-Ing.

About

124
Publications
66,841
Reads
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1,039
Citations
Introduction
I am a Senior Manager at PwC Luxembourg in the domain of Smart Identity and Biometrics. My research interests include biometrics, particularly how we can leverage AI methods, make sure the technology is applied in a secure and private fashion and how to improve the user experience.
Additional affiliations
September 2018 - present
Fraunhofer Institute for Computer Graphics Research IGD
Position
  • Alumni
June 2016 - August 2018
CRISP - Center for Research in Seucrity and Privacy
Position
  • Principal Investigator
Description
  • Principal Investigator at CRISP - Center for Research in Security and Privacy, with the core topic "Security At Large". Research areas are biometrics and security in smart environments.
January 2016 - August 2018
Fraunhofer Institute for Computer Graphics Research IGD
Position
  • Head of Department
Description
  • R&D collaboration with SMEs and industry in Germany and Europe Planning and execution of joint research projects. Strategic and research management of scientific and student personnel
Education
January 2010 - December 2014
Technische Universität Darmstadt
Field of study
  • Computer Science
October 2004 - October 2009
Technische Universität Darmstadt
Field of study
  • Computational Engineering
October 2002 - April 2004
University of Wuerzburg
Field of study
  • Physics

Publications

Publications (124)
Conference Paper
Full-text available
Multi-biometrics combines different biometric sources to enhance recognition, template protection, and indexing performances. One of the main challenges here is the need for joint discriminant feature representation of multi-biometric data. This is typically achieved by feature-level fusion, imposing limitations on the combinations of bio-metric ch...
Conference Paper
Back pain is one of the most common illnesses in Western civilizations. Office work and lack of motion can lead to deterioration over time. Many people already use seat cushions to improve their posture during work or leisure. In this work, we present an E-Textile cushion. This seat cushion is equipped with capacitive proximity sensors that track t...
Conference Paper
Smart textiles and garments promise intriguing new possibilities for the wearer. Integrated interaction can create new experiences and sensors can detect relevant information about the wearer. However, this poses an additional challenge for the designer of smart garments, about how to integrate these technologies. In this work, we want to investiga...
Chapter
Since fingerprints are one of the most widely deployed biometrics, accurate fingerprint gender estimation can positively affect several applications. For example, in criminal investigations, gender classification may significantly minimize the list of potential subjects. Previous work mainly offered solutions for the task of gender classification b...
Chapter
Full-text available
Face morphing attacks create face images that are verifiable to multiple identities. Associating such images to identity documents lead to building faulty identity links, causing attacks on operations like border crossing. Most of previously proposed morphing attack detection approaches directly classified features extracted from the investigated i...
Conference Paper
Full-text available
Since fingerprints are one of the most widely deployed biometrics, accurate fingerprint gender estimation can positively affect several applications. For example, in criminal investigations, gender classification may significantly minimize the list of potential subjects. Previous work mainly offered solutions for the task of gender classification b...
Conference Paper
Almost 100 years ago, the thereminvox was the first electronic musical instrument that could be controlled without contact. With precise positioning of two hands, the player controls pitch and volume of a sine sound, by changing the distance from two antennas. We present SurfaceVox, which combines the technology behind the thereminvox with an addit...
Chapter
Smart Environments should be able to understand a user's need without explicit interaction. In order to do that, one step is to build a system that is able to recognize and track some common activities of the user. This way, we can provide a system that provides various services for controlling installed appliances and offering help for every day a...
Conference Paper
Full-text available
Once upon a time, there was a blacklisted criminal who usually avoided appearing in public. He was surfing the Web, when he noticed, what had to be a targeted advertisement announcing a concert of his favorite band. The concert was in a near town, and the only way to get there was by train. He was worried, because he heard in the news about the new...
Conference Paper
Full-text available
Normalization is an important step for different fusion, classification, and decision making applications. Previous normalization approaches considered bringing values from different sources into a common range or distribution characteristics. In this work we propose a new normalization approach that transfers values into a normalized space where t...
Conference Paper
Full-text available
Face recognition technology is spreading into a wide range of applications. This is mainly driven by social acceptance and the performance boost achieved by the deep learning-based solutions in the recent years. Perspective distortion is an understudied distortion in face recognition that causes converging verticals when imaging 3D objects dependin...
Conference Paper
Full-text available
Accurate fingerprint gender estimation can positively affect several applications, since fingerprints are one of the most widely deployed biometrics. For example, gender classification in criminal investigations may significantly minimize the list of potential subjects. Previous work mainly offered solutions for the task of gender classification ba...
Conference Paper
Full-text available
Indexing of multi-biometric data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue in multi-biometric databases focused on multi-instance indexing, mainly iris data. Few works addressed the indexing in multi-modal databases, with basic candidate list fusion solutions limited to joining face...
Article
Full-text available
Not receiving help in the case of an emergency is one of the most common fears of older adults that live independently at home. Falls are a particularly frequent occurrence and often the cause of serious injuries. In the last years, various ICT solutions for supporting older adults at home have been developed. Based on sensors and services in a sma...
Article
Full-text available
Electric fields exist everywhere. They are influenced by living beings, conductive materials, and other charged entities. Electric field sensing is a passive capacitive measurement technique that detects changes in electric fields and has a very low power consumption. We explore potential applications of this technology and compare it to other meas...
Conference Paper
Full-text available
Since fingerprints are one of the most widely deployed biometrics, several applications can benefit from an accurate fingerprint gender estimation. Previous work mainly tackled the task of gender estimation based on complete fingerprints. However, partial fingerprint captures are frequently occurring in many applications including forensics and con...
Article
Full-text available
Location-based services or smart home applications all depend on an accurate indoor positioning system. Basically one divides these systems into token-based and token-free localization systems. In this work, we focus on the token-free system based on smart floor technology. Smart floors can typically be built using pressure sensors or capacitive se...
Conference Paper
Full-text available
The rapid development of VR technology in the past three years allowed artists, filmmakers and other media producers to create great experiences in this new me-dium. But filmmakers are, however, facing big challenges, when it comes to cin-ematic narration in VR. The old, established rules of filmmaking do not apply for VR films and important techni...
Chapter
Over the last decade a number of technologies have been developed that support individuals in keeping themselves active. This can be done via e-coaching mechanisms and by installing more advanced technologies in their homes. The objective of the Active Healthy Ageing (AHA) Platform is to integrate existing tools, hardware, and software that assist...
Article
Full-text available
Quantified Self has seen an increased interest in recent years, with devices including smartwatches, smartphones, or other wearables that allow you to monitor your fitness level. This is often combined with mobile apps that use gamification aspects to motivate the user to perform fitness activities, or increase the amount of sports exercise. Thus f...
Conference Paper
Full-text available
Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face bio-metrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin....
Article
Full-text available
Large interactive surfaces enable novel forms of interaction for their users, particularly in terms of collaborative interaction. During longer interactions, the ergonomic factors of interaction systems have to be taken into consideration. Using the full interaction space may require considerable motion of the arms and upper body over a prolonged p...
Book
Full-text available
Selected Paper from the 6th World Conference on Soft Computing, May 22-25, 2016, Berkeley, USA
Conference Paper
Full-text available
Indexing of multi-biometric data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by including biometric sources of different nature, utilizing the knowledge about the biometric sources, and optimizing and tuning the retrieval performance. This work presents a generalized m...
Conference Paper
Full-text available
Quantified self has been a trend over the last several years. An increasing number of people use devices, such as smart-watches or smartphones to log activities of daily life, including step count or vital information. However, most of these devices have to be worn by the user during the activities, as they rely on integrated motion sensors. Our go...
Article
Supporting persons with Down’s Syndrome in their daily activities using ICT is a key element in further advancing their independence and integration into society. The POSEIDON project embraces this goals and develops technology which creates adjustable and personalizable assistive systems. We present a system for Money-Handling Training and assista...
Chapter
Full-text available
Indexing of iris data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by the tradeoffs between accuracy, computational efficacy, storage costs, and maintainability. This work presents an iris indexing approach based on rotation invariant iris representation and LSH-Forest...
Article
The large-scale of the recently demanded biometric systems has put a pressure on creating a more efficient, accurate, and private biometric solutions. Iris biometrics is one of the most distinctive and widely used biometric characteristics. High performing iris representations suffer from the curse of rotation inconsistency. This is usually solved...
Conference Paper
Quality assurance of dry cleaned industrial textiles is still a mostly manually operated task. In this paper, we present how computer vision and machine learning can be used for the purpose of automating defect detection in this application. Most existing systems require textiles to be spread flat, in order to detect defects. In contrast, we presen...
Conference Paper
Multi-biometrics aims at building more accurate unified biometric decisions based on the information provided by multiple biometric sources. Information fusion is used to optimize the process of creating this unified decision. In previous works dealing with score-level multi-biometric fusion, the scores of different biometric sources belonging to t...
Conference Paper
Application areas like health-care and smart environments have greatly bene�ted from embedding sensors into every-day-objects, enabling for example sleep apnea detection. We propose to further integrate parts of sensors into the very own materials of the objects. Thus, in this work we explore integrating smart garments into furniture using a couch...
Conference Paper
Falls of elderly persons are the most common cause of serious injuries in this age group. It is important to detect the fall in a timely manner. If medical help can’t be provided immediately a deterioration of the patient’s state may occur. In order to tackle this challenge, we want to propose two combined safety services that can utilize the same...
Conference Paper
Smart environments describe spaces that are equipped with sensors, computing facilities and output systems that aim at providing their inhabitants with targeted services and supporting them in their tasks. Increasingly these are faced with challenges in differentiating multiple users and secure authentication. This paper outlines how biometric tech...
Conference Paper
The growth of the Internet of Things (IoT) over the past few years enabled a lot of application domains. Due to the increasing number of IoT connected devices, the amount of generated data is increasing too. Processing huge amounts of data is complex due to the continuously running situation recognition algorithms. To overcome these problems, this...
Conference Paper
Application areas like health-care and smart environments have greatly benefited from embedding sensors into every-day-objects, enabling for example sleep apnea detection. We propose to further integrate parts of sensors into the very own materials of the objects. Thus, in this work we explore integrating smart garments into furniture using a couch...
Conference Paper
Full-text available
The ability to perform accurate indoor positioning opens a wide range of opportunities, including smart home applications and location-based services. Smart floors are a well-established technology to enable marker-free indoor localization within an instrumented environment. Typically, they are based on pressure sensors or varieties of capacitive s...
Conference Paper
Electric fields are influenced by the human body and other conducting materials. Capacitive measurement techniques are used in touch-screens, in the automobile industry, and for presence and activity recognition in Ubiquitous Computing. However, a drawback of the capacitive technology is the energy consumption, which is an important aspect for mobi...
Conference Paper
Full-text available
Disability from musculoskeletal diseases and co-morbidities may lead to the worsening of social and economic well-being through a multitude of paths. Moreover since in European Union (EU) Member States it is projected that those aged 65 and over will become a much larger share (rising from 17% to 30% of the population), and those aged 80 and over (...
Chapter
Smart Living environments aim at supporting their inhabitants in daily tasks by detecting their needs and dynamically reacting accordingly. This generally requires several sensor devices, whose acquired data is combined to assess the current situation. Capturing the full range of situations necessitates many sensors. Often cameras and motion detect...
Chapter
Smart environments need to be able to fulfill the wishes of its occupants unobtrusively. To achieve this goal, it has to be guaranteed that the current state environment is perceived at all times. One of the most important aspects is to find the current position of the inhabitants and to perceive how they move in this environment. Numerous technolo...
Chapter
Ambient Assisted Living (AAL) technologies hold great potential to meet the challenges of health, support, comfort and social services in European countries. After years of research, innovation and development in the field of health care and life support, there is still a lack of good practices on how to improve the market uptake of AAL solutions,...
Conference Paper
Full-text available
The visual detection of defects in textiles is an important application in the textile industry. Existing systems require textiles to be spread flat so they appear as 2D surfaces, in order to detect defects. In contrast, we show classification of textiles and textile feature extraction methods, which can be used when textiles are in inhomogeneous,...
Conference Paper
Full-text available
Automatic entrance systems are increasingly gaining importance to guarantee security in e.g. critical infrastructure. A pipeline is presented which verifies that only a single, authorized subject can enter a secured area. Verification scenarios are carried out by using a set of RGB-D images. Features, invariant to rotation and pose are used and cla...
Article
OpenCapSense is a prototyping platform to develop innovative applications that rely on perceiving humans with electric fields. Despite today's use of capacitive sensing mostly as a method to detect touch, it offers many interesting facets that range from mid-air interaction to contactless indoor localization and identification. The platform provide...
Chapter
Das Anwendungsfeld Ambient Assisted Living (AAL) beschreibt technische Systeme zur Unterstützung hilfsbedürftiger Personen im Alltag. In den vergangenen Jahren wurde in Deutschland und Europa viel in die Entwicklung und Erprobung von Technologien zur Unterstützung in der häuslichen Umgebung investiert, jedoch häufig ohne nachhaltige Effekte am Mark...
Conference Paper
Full-text available
Occupancy sensors are used in care applications to measure the presence of patients on beds or chairs. Sometimes it is necessary to swiftly alert help when patients try to get up, in order to prevent falls. Most systems on the market are based on pressure-mats that register changes in compression. This restricts their use to applications below soft...
Conference Paper
Full-text available
Capacitive proximity sensors are a variety of the sensing technology that drives most finger-controlled touch screens today. However, they work over a larger distance. As they are not disturbed by non-conductive materials, they can be used to track hands above arbitrary surfaces, creating flexible interactive surfaces. Since the resolution is lower...
Conference Paper
Full-text available
Capacitive sensing drives one of the most ubiquitous interaction techniques - the finger-controlled touch screen. The variety of capacitive proximity sensor extends the range from touch detection to proximity sensing, providing the opportunity for mid-air gestural interaction system. In addition, they work through non-conductive materials. In this...
Conference Paper
Full-text available
Capacitive sensing is a common technology for finger-controlled touch screens. The variety of proximity sensors extends the range, thus supporting mid-air gesture interaction and application below any non-conductive materials. However, this comes at the cost of limited resolution for touch detection. In this paper, we present CapTap, which uses cap...