Academics

About

Dr. Christian Vogler is a professor in the Communication Studies program. He also is the director of the Technology Access Program research group. He leads and co-leads multiple research grants that focus on accessible technology for the deaf and hard of hearing. Topics include video relay services, captioned telephone services, closed captions for TV and streaming video, better consumer control over hearing aids and cochlear implants, next-generation smart home alerting systems, and accessibility of voice interfaces like Amazon Alexa and Google Assistant. He collaborates closely with Dr. Raja Kushlanagar at the IT program, Dr. Patrick Boudreault at Interpreting, and HSLS faculty.

In his role, he also is involved in bringing consumers, industry, and policymakers together on accessibility issues, advocating for a deaf/hard of hearing perspective, as well as developing prototype technologies for improving the accessibility of such systems. Prior to joining TAP in 2011, Dr. Vogler has worked on various research projects related to sign language recognition and facial expression recognition from video at the University of Pennsylvania; the Gallaudet Research Institute; UNICAMP in Campinas, Brazil; and the Institute for Language and Speech Processing in Athens, Greece.

Dr. Vogler passionately believes that deaf and hard of hearing people have only scratched the surface of what is possible with the internet and mobile communication technologies, and that the most exciting technological developments are still to come. He always is on the lookout for students who are interested in communication technologies and want to make a difference in how we use them.

Currently Teaching

COM-390 Communication Accessibility Credits: 3
ITS-372 Communication Accessibility Credits: 3
AHC-602 Communication Accessibility Credits: 3
  • COM-390 Communication Accessibility (2011/02)(01)
  • COM-390 Communication Accessibility (2012/02)(01)
  • COM-390 Communication Accessibility (2013/02)(01)
  • COM-390 Communication Accessibility (2014/02)(01)
  • DST-780 Cultural Stds Master's Proj I (2014/01)(03)
  • DST-781 Cult Stds Master's Prj II (2014/02)(03)
  • COM-390 Communication Accessibility (2015/02)(01)
  • COM-390 Communication Accessibility (2016/02)(01)
  • COM-390 Communication Accessibility (2017/02)(01)
  • COM-390 Communication Accessibility (2018/02)(01)
  • COM-390 Communication Accessibility (2019/02)(01)
  • COM-499 Independent Study (2019/02)(01)
  • COM-499 Independent Study (2017/01)(02)
  • COM-499 Independent Study (2019/02)(02)
  • COM-499 Independent Study (2016/02)(03)
  • COM-499 Independent Study (2017/02)(04)
  • ITS-395 Special Topics (2016/02)(01)
  • ITS-395 Special Topics (2017/02)(01)
  • ITS-395 Special Topics (2018/02)(01)
  • COM-390 Communication Accessibility (2020/02)(01)
  • COM-390 Communication Accessibility (2022/01)(1)
  • COM-390 Communication Accessibility (2021/02)(01)
  • AHC-602 Communication Accessibility (2022/01)(1)
  • ITS-372 Communication Accessibility (2021/02)(01)
  • ITS-372 Communication Accessibility (2023/01)(01)
  • COM-390 Communication Accessibility (2023/01)(01)
  • AHC-602 Communication Accessibility (2023/01)(01)
  • ITS-372 Communication Accessibility (2022/01)(1)
  • REU-AICT (2020/03)
  • REU-AICT (2021/03)
  • REU AICT 2023 (2022/03)
  • Arranged guest lecture in my class (2020/02)
  • Arranged guest lecture in my class (2021/02)
  • MITRE Student Research Experience (2021/01)
  • Co-developing AHC 606 (2022/02)
  • Research Experience on Alexa accessibility (2022/01)
  • Captioning Research Experience (2023/01)
  • Guest lecture in GSR 230 (2022/02)
  • Enhanced ITS 372 to AHC 602 grad level (2022/01)
  • Independent Study (PSY 799) (2023/02)
  • Advising Load 2023/02: Total:6 Masters:6
  • Advising Load 2024/01: Total:6 Masters:6
  • Advising Load 2022/02: Total:6 Masters:6
  • Advising Load 2022/01: Total:6 Masters:6
  • Advising Load 2021/02: Total:3 Undergraduate:3
  • Advising Load 2021/01: Total:3 Undergraduate:3
  • Advising Load 2020/02: Total:3 Undergraduate:3
  • Teleconference Sign Language Detection
  • The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective
  • Effect of caption width on the TV user experience by deaf and hard of hearing viewers
  • Image-based stress recognition using a model-based dynamic face tracking system
  • A framework for recognizing the simultaneous aspects of american sign language
  • A framework for motion recognition with applications to American sign language and gait recognition
  • Hearing Systems and Accessories for People with Hearing Loss: Introduction to the Special Thematic Session
  • A machine translation system from English to American Sign Language
  • Teleconference Captioning Accessibility
  • Adaptive deformable models
  • Real-time text Interoperability
  • Mixed local and remote participation in teleconferences from a deaf and hard of hearing perspective
  • Outlier rejection in deformable model tracking
  • Standardization of real-time text in instant messaging
  • Parallel hidden markov models for american sign language recognition
  • ASL Consent in the Digital Informed Consent Process
  • Orlando, FL, October 12-15, 1997 Adapting Hidden Markov Models for ASL Recognition by Using Three-dimensional Computer Vision Methods Christian Vogler and Dimitris Metaxas Department of Computer and Information Science
  • Caption UI/UX-Display Emotive and Paralinguistic Information in Captions
  • Adaptive deformable models for graphics and vision
  • Universal Access in Human-Computer Interaction. Addressing Diversity
  • Sign Language Interfaces: Discussing the Field's Biggest Challenges
  • Part III-Workshop on Dynamic Data Driven Applications Systems-Image-Based Stress Recognition Using a Model-Based Dynamic Face Tracking System
  • Caption user interface accessibility in WebRTC
  • A new web interface to facilitate access to corpora: Development of the ASLLRP data access interface (DAI)
  • Outlier rejection in high-dimensional deformable models
  • 3D facial tracking from corrupted movie sequences
  • Analysis of facial expressions in american sign language
  • Extending fuzzy sets with new evidence for improving a sign language recognition system
  • Video relay service practices and policies around the world
  • The best of both worlds: Combining 3d deformable models with active shape models
  • ASL recognition based on a coupling between HMMs and 3D motion analysis
  • Multimodal Visual Languages User Interface, M3UI
  • Audio-visual speech understanding in simulated telephony applications by individuals with hearing loss
  • Human gait recognition
  • Comparing the accuracy of ACE and WER caption metrics when applied to live television captioning
  • Multimodal Visual Languages User Interface, M3UI
  • Voice telephony for individuals with hearing loss: The effects of audio bandwidth, bit rate and packet loss
  • Factors Affecting the Accessibility of Voice Telephony for People with Hearing Loss: Audio Encoding, Network Impairments, Video and Environmental Noise
  • ???Alexa, Can You See Me???? Making Individual Personal Assistants for the Home Accessible to Deaf Consumers
  • Facial movement analysis in ASL
  • Teleconference accessibility and guidelines for deaf and hard of hearing users
  • When occlusions are outliers
  • Telehealth and telework accessibility in a pandemic-induced virtual world
  • Sign language recognition, generation, and translation: An interdisciplinary perspective
  • Adapting hidden Markov models for ASL recognition by using three-dimensional computer vision methods
  • Preferences of deaf or hard of hearing users for live-TV caption appearance
  • Accessibility of voice-activated agents for people who are deaf or hard of hearing
  • Evaluation of Anonymized Sign Language Videos Filtered Using MediaPipe
  • Statistical cue integration in dag deformable models
  • ON MANAGING COMPLEXITY IN SIGN LANGUAGE RECOGNITION
  • Head-mounted display visualizations to support sound awareness for the deaf and hard of hearing
  • Optical computer recognition of facial expressions associated with stress induced by performance demands
  • Readability of punctuation in automatic subtitles
  • A new web interface to facilitate access to corpora: development of the ASLLRP data access interface
  • Sign language recognition, generation, and modelling: A research effort with applications in deaf communication
  • Affine arithmetic based estimation of cue distributions in deformable model tracking
  • Toward scalability in ASL recognition: Breaking down signs into phonemes
  • Live Captions in Virtual Reality (VR)
  • Session details: Deaf and Hard of Hearing Users
  • Deaf and Hard of Hearing Viewers' Preference for Speaker Identifier Type in Live TV Programming
  • Handshapes and movements: Multiple-channel american sign language recognition
  • Human gait recognition at sagittal plane
  • Cue integration using affine arithmetic and gaussians
  • Computer-based tracking, analysis, and visualization of linguistically significant nonmanual events in American Sign Language (ASL)
  • Directed acyclic graph representation of deformable models
  • Advances in phonetics-based sub-unit modeling for transcription alignment and sign language recognition
  • Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program
  • American sign language recognition: reducing the complexity of the task with phoneme-based modeling and parallel hidden markov models
  • Toward computational understanding of sign language
  • Rehabilitation Engineering Research Center on Technology for the Deaf and Hard of Hearing (DHH-RERC)- (National Institute on Disability, Independent Living and Rehabilitation Research)
  • FCC Telecommunications Relay Services Center of Expertise- (MITRE/FCC)
  • FCC Telecommunications Relay Services Center of Expertise- (MITRE/FCC)
  • FCC Telecommunications Relay Services Center of Expertise- (MITRE/FCC)
  • Twenty-First Century Captioning Technology, Metrics and Usability- (National Institute on Disability, Independent Living and Rehabilitation Research)
  • Research Experiences for Undergraduates, Accessible ICT- (National Science Foundation)
  • Wireless RERC: Project D3: Next-Generation Bluetooth Connectivity for Hearing Devices- (National Institute on Disability, Independent Living and Rehabilitation Research)
  • Council on Graduate Education: Member 2022/01
  • HSLS Faculty Search Committee 2022/02-2022/02
  • AHCC Faculty Search Committee 2022/02-2022/02
  • Dean of Research Search 2022/01-2022/01
  • Sign Language Research Think Tank 2020/02-2021/01
  • IT NTT Faculty Search 2021/02-2021/02
  • Institutional Research Project Manager Search 2021/02-2021/02
  • Office of Sponsored Programs/Postaward Search 2021/01-2021/01
  • Development of new AHCC program and CGE proposal 2020/02-2021/01
  • CHI 2022 paper review: ACM SIGCHI 2021/01-2021/01
  • CHI 2023 review: ACM SIGCHI 2022/01-2023/01
  • CHI 2024 reviews and re-reviews: ACM SIGCHI 2023/01-2023/01
  • AI & Sign Language Convention: Gallaudet University 2020/03-2021/01
  • ASSETS 21 Virtual Co-Chair: ACM SIGACCESS 2020/02-2022/01
  • Hybrid Chair and Organizing Committee for ASSETS 2022: ACM SIGACCESS 2021/02-2022/01
  • ACM: August 2020-Ongoing
  • Contact Me

    Christian Vogler

    202-250-2795

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