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Michael J. Lyons 0001

dblp:181/2429-1 · DBLP profile ↗
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20ranked-venue papers
11as first author
0since 2021 · last 2017
0000-0002-7426-0628ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 12 · 6 first-authorGraphics, computer vision, multimedia, augmented reality and games · 10 · 7 first-authorArtificial intelligence and machine learning · 6 · 4 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
6 papers
Interaction techniques and input · 79% Haptics and multimodal interaction · 16% Wearable and physiological sensing · 5%
Computer graphics and multimedia
5 papers
Audio and music processing · 95% Visual content generation and editing · 5%
Artificial intelligence
2 papers
Face, body and person analysis · 41% Image recognition and object detection · 32% Generative modeling · 28%

Topics — the 9 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › music technology › computer music
music performance interface
0.322012
Advances in new interfaces for musical expression · SIGGRAPH Asia Courses 2012
Advances in new interfaces for musical expression · SIGGRAPH Asia Courses 2011
Audio and music processing
sound synthesis
0.122012
Advances in new interfaces for musical expression · SIGGRAPH Asia Courses 2012
Advances in new interfaces for musical expression · SIGGRAPH Asia Courses 2011
Audio and music processing
music technology
0.012013
Blending the physical and the virtual in music technology: from interface design to multi-modal signal processing · ACM Multimedia 2013
Audio and music processing › music technology
computer music
0.012010
Creating new interfaces for musical expression: introduction to NIME · SIGGRAPH ASIA (Courses) 2010
Computer vision › Image recognition and object detection › image classification › object classification
face classification
0.011999
Automatic Classification of Single Facial Images · IEEE Trans. Pattern Anal. Mach. Intell. 1999
Computer vision › Face, body and person analysis
face recognition
0.011999
Automatic Classification of Single Facial Images · IEEE Trans. Pattern Anal. Mach. Intell. 1999
Machine learning › Generative modeling
avatar generation
0.011998
Avatar Creation Using Automatic Face Processing · ACM Multimedia 1998
Visual content generation and editing
3d content creation
0.011998
Avatar Creation Using Automatic Face Processing · ACM Multimedia 1998
Computer vision › Face, body and person analysis › facial expression analysis
facial expression recognition
0.011999
Automatic Classification of Single Facial Images · IEEE Trans. Pattern Anal. Mach. Intell. 1999

Methods — techniques the papers use, named apart from their topics

sensor technology · 0.5microcontroller · 0.5signal processing · 0.3machine learning · 0.3automatic face processing · 0.0linear discriminant analysis · 0.0gabor wavelet · 0.0elastic graph matching · 0.0
YearPublicationVenuePosition
2017 How to design, build, and perform with new musical interfaces
abstract
course Share on How to design, build, and perform with new musical interfaces Authors: Michael Lyons Ritsumeikan University Ritsumeikan UniversityView Profile , Sidney Fels University of British Columbia University of British ColumbiaView Profile Authors Info & Claims SA '17: SIGGRAPH Asia 2017 CoursesNovember 2017 Article No.: 9Pages 1–143https://doi.org/10.1145/3134472.3134473Published:27 November 2017Publication History 0citation151DownloadsMetricsTotal Citations0Total Downloads151Last 12 Months6Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Michael J. Lyons 0001, Sidney S. Fels
SIGGRAPH ASIA (Courses)1
2015 How to Design and Build New Musical Interfaces
Sidney S. Fels, Michael J. Lyons 0001
INTERACT (4)2
2013 Blending the physical and the virtual in music technology: from interface design to multi-modal signal processing
abstract
Recent years have seen a significant increase of interest in rich multi-modal user interfaces going beyond conventional mouse/keyboard/screen interaction. The new interface technologies are broadly impacting music technology and culture. New musical interfaces use a variety of sensing (and actuating) modalities to receive and present information to users, and often require techniques from signal processing and machine learning in order to extract and fuse high level information from noisy, high dimensional signals over time. Hence they pose many interesting signal processing challenges while offering fascinating possibilities for new research. At the same time the richness of possibilities for new forms of musical interaction requires a new approach to the design of musical technologies and has implications for performance aesthetics and music pedagogy. This tutorial begins with a general and gentle introduction to the theory and practice of the design of new technologies for musical creation and performance. It continues with an overview of signal processing and machine learning methods which are needed for more advanced work in new musical interface design.
George Tzanetakis, Sidney S. Fels, Michael J. Lyons 0001
ACM Multimedia3
2012 Advances in new interfaces for musical expression
abstract
Advances in digital audio technologies have led to a situation where computers play a role in most music production and performance. Digital technologies offer unprecedented opportunities for the creation and manipulation of sound, however the flexibilty of these new technologies imply an often confusing array of choices for musical composers and performers. Some artists have faced this challenge by using computers directly to create music and leading to an explosion of new musical forms. However, most would agree that the computer is not a musical instrument, in the same sense as traditional instruments, and it is natural to ask 'how to play the computer' using interface technology appropriate for human brains and bodies. In 2001, we organized the first workshop on New Interfaces for Musical Expression (NIME), to attempt to answer this question by exploring connections with the better established field of human-computer interaction. This course summarizes what has been learned at NIME which has been held annually since that first workshop. We begin with an overview of the theory and practice of new musical interface design, asking what makes a good musical interface and whether there are any useful design principles or guidelines available. We will also discuss topics such as the mapping from human action to musical output, and control intimacy. Practical information about the tools for creating musical interfaces will be given, including an overview of sensors and microcontrollers, audio synthesis techniques, and communication protocols such as Open Sound Control (and MIDI). The remainder of the course will consist of several specific case studies representative of the major broad themes of the NIME conference, including augmented and sensor based instruments, mobile and networked music, and NIME pedagogy.
Michael J. Lyons 0001, Sidney S. Fels
SIGGRAPH Asia Courses1
2011 Interaction and Music Technology
Sidney S. Fels, Michael J. Lyons 0001
INTERACT (4)2
2011 Advances in new interfaces for musical expression
abstract
Advances in digital audio technologies have led to a situation where computers play a role in most music production and performance. Digital technologies offer unprecedented opportunities for the creation and manipulation of sound. However, the flexibilty of these new technologies implies an often confusing array of choices for musical composers and performers. Some artists have faced this challenge by using computers directly to create music, leading to an explosion of new musical forms. However, most would agree that the computer is not a musical instrument - in the same sense as traditional instruments - and it is natural to ask 'how to play the computer' using interface technology appropriate for human brains and bodies. A decade ago we organized the first workshop on New Interfaces for Musical Expression (NIME) to attempt to answer this question by exploring connections with the established field of human-computer interaction. This course summarizes what has been learned at NIME. We begin with an overview of the theory and practice of new musical interface design, asking what makes a good musical interface and whether there are any useful design principles or guidelines available. We will also discuss topics such as the mapping from human action to musical output, and control intimacy. Practical information about the tools for creating musical interfaces will be given, including an overview of sensors and microcontrollers, audio synthesis techniques, and communication protocols such as Open Sound Control and MIDI. The remainder of the course will consist of several specific case studies representative of the major broad themes of the NIME conference, including augmented and sensor based instruments, mobile and networked music, and NIME pedagogy.
Michael J. Lyons 0001, Sidney S. Fels
SIGGRAPH Asia Courses1
2010 Creating new interfaces for musical expression: introduction to NIME
abstract
Due to advances in digital audio technologies, computers now play a role in most music production and performance. Digital technologies offer unprecedented opportunities for creation and manipulation of sound, but the flexibilty of these new technologies implies an often confusing array of choices for musical composers and performers. Some artists are using computers directly to create music and generate an explosion of new musical forms. However, most would agree that the computer is not a musical instrument, in the same sense as traditional instruments, and it is natural to wonder "how to play the computer" using interface technology appropriate for human brains and bodies.
Sidney S. Fels, Michael J. Lyons 0001
SIGGRAPH ASIA (Courses)2
2007 iMime: an interactive character animation system for use in dementia care
abstract
We describe the design and implementation of an interactive character animation interface. The system analyzes the attentive state and aspects of the affective behaviour of a viewer using input from a video camera and uses this to control the behaviour of a cartoon-like animated character. Using the interaction metaphor of a mime artist, we design the system to encourage viewer attention and interaction, with adaptation using an online reinforcement learning based on the viewer's attentive state. This work is ultimately aimed at developing a system to support the care of dementia sufferers.
Andreas Wiratanaya, Michael J. Lyons 0001, Nicholas Butko, Shinji Abe
IUI2
2006 Ambient Display using Musical Effects
abstract
The paper presents a novel approach to the peripheral display of information by applying audio effects to an arbitrary selection of music. We examine a specific instance: the communication of information about human affect, and construct a functioning prototype which captures behavioral activity level from the face and maps it to musical effects. Several audio effects are empirically evaluated as to their suitability for ambient display. We report measurements of the ambience, perceived affect, and pleasure of these effects. The findings support the hypothesis that musical effects are a promising method for ambient informational display.
Luke Barrington, Michael J. Lyons 0001, Dominique Diegmann, Shinji Abe
IUI2
2005 Segment and Browse: A Strategy for Supporting Human Monitoring of Facial Expression Behaviour
Michael J. Lyons 0001, Mathias Funk, Kazuhiro Kuwabara
INTERACT1
2004 Enhancing Web-Based Learning by Sharing Affective Experience
abstract
We suggest that the real-time visual display of affective signals such as respiration, pulse, and skin conductivity can allow users of Web-based tutoring systems insight into each other's felt bodily experience. This allows remotely interacting users to increase their experience of empathy, or shared feeling and has the potential to enhance telelearning. We describe an implementation of such a system and present the results of a preliminary experiment in the context of a Web-based system for tutoring the writing of Chinese characters.
Michael J. Lyons 0001, Daniel Kluender, Nobuji Tetsutani
ICALT1
2004 Vision Based Acquisition of Mouth Actions for Human-Computer Interaction
Gamhewage Chaminda de Silva, Michael J. Lyons 0001, Nobuji Tetsutani
PRICAI2
2003 Mouthbrush: drawing and painting by hand and mouth
abstract
We present a novel multimodal interface which permits users to draw or paint using coordinated gestures of hand and mouth. A headworn camera captures an image of the mouth and the mouth cavity region is extracted by Fisher discriminant analysis of the pixel colour information. A normalized area parameter is read by a drawing or painting program to allow read-time gestural control of pen/brush parameters by mouth gesture while sketching with a digital pen/tablet. A new performance task, the Radius Control Task, is proposed as a means of systematic evaluation of performance of the interface. Data from preliminary experiments show that with some practice users can achieve single pixel radius control with ease. A trial of the system by a professional artist shows that it is ready for use as a novel tool for creative artistic expression.
Chi-Ho Chan, Michael J. Lyons 0001, Nobuji Tetsutani
ICMI2
2003 Vital signs: exploring novel forms of body language
abstract
No abstract available.
Michael J. Lyons 0001, Daniel Kluender, Chi-Ho Chan, Nobuji Tetsutani
SIGGRAPH1
2000 Classifying Facial Attributes Using a 2-D Gabor Wavelet and Discriminant Analysis
abstract
A method for automatically classifying facial images is proposed. Faces are represented using elastic graphs labelled with with 2D Gabor wavelet features. The system is trained from examples to classify faces on the basis of high-level attributes, such as sex, "race", and expression, using linear discriminant analysis (LDA). Use of the Gabor representation relaxes the requirement for precise normalization of the face: approximate registration of a facial graph is sufficient. LDA allows simple and rapid training from examples, as well as straightforward interpretation of the role of the input features for classification. The algorithm is tested on three different facial image datasets, one of which was acquired under relatively uncontrolled conditions, on tasks of sex, "race" and expression classification. Results of these tests are presented. The discriminant vectors may be interpreted in terms of the saliency of the input features for the different classification tasks, which we portray visually with feature saliency maps for node position as well as filter spatial frequency and orientation.
Michael J. Lyons 0001, Julien Budynek, Andre Plante, Shigeru Akamatsu
FG1
1999 Extracting symbolic information from facial images
abstract
A method for automatically extracting symbolic-level information from single facial images is proposed. We combine a 2D Gabor wavelet labelled elastic graph representation with Fisher discriminant analysis. Use of this representation relaxes the requirement for exact normalization of the face. The algorithm is used to extract information about the sex, "race" and emotional expression of the face in the image. A visual interpretation of the discriminant vectors is provided.
Michael J. Lyons 0001, Julien Budynek, Shigeru Akamatsu
KES1
1999 Automatic Classification of Single Facial Images
abstract
We propose a method for automatically classifying facial images based on labeled elastic graph matching, a 2D Gabor wavelet representation, and linear discriminant analysis. Results of tests with three image sets are presented for the classification of sex, "race", and expression. A visual interpretation of the discriminant vectors is provided.
Michael J. Lyons 0001, Julien Budynek, Shigeru Akamatsu
IEEE Trans. Pattern Anal. Mach. Intell.1
1998 Coding Facial Expressions with Gabor Wavelets
Michael J. Lyons 0001, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba
FG1
1998 Comparison Between Geometry-Based and Gabor-Wavelets-Based Facial Expression Recognition Using Multi-Layer Perceptron
Zhengyou Zhang, Michael J. Lyons 0001, Michael Schuster, Shigeru Akamatsu
FG2
1998 Avatar Creation Using Automatic Face Processing
abstract
Article Avatar creation using automatic face processing Share on Authors: Michael Lyons ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, JapanView Profile , Andre Plante ATR Media Integration and Communication Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan ATR Media Integration and Communication Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, JapanView Profile , Sebastien Jehan ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, JapanView Profile , Seiki Inoue ATR Media Integration and Communication Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan ATR Media Integration and Communication Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, JapanView Profile , Shigeru Akamatsu ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan ATR Human Information Processing Research Laboratory, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, JapanView Profile Authors Info & Claims MULTIMEDIA '98: Proceedings of the sixth ACM international conference on MultimediaSeptember 1998 Pages 427–434https://doi.org/10.1145/290747.290816Online:01 September 1998Publication History 17citation614DownloadsMetricsTotal Citations17Total Downloads614Last 12 Months20Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Michael J. Lyons 0001, Andre Plante, Sebastien Jehan, Seiki Inoue, Shigeru Akamatsu
ACM Multimedia1