Author: matthias

 

Date: 26 November
Time: 12.45-14.00
Place: RDB14 3.429

Wearable Computing has a wide range of applications and forms. We focus on vibrotactile communication as a way to communicate effectively with less cognitive load on the wearer—leaving eyes, ears and hands-free for other activities. We research and implement the development of vibrotactile patterns that emulate human touch with an aim to assist the wearer in order that the vibrotactile sensations become as if a part of the persons own autonomous nervous system. We have worked with sensitivity ranges for vibrotactile responses and purposefully work with a broad demographic—in terms of age and variety and breadth of experience. We situate the experimentation in urban spaces with a view to enhancing mobility, responsiveness and interaction possibilities in future mediated public environments.

Our current focus addresses a range of vibrotactile patterns in a wearable computing vest to communicate three states: calming and relaxation; activation; and navigation or information prompts—such as full body turning or warning to slow down or stop. To this end, we have developed the vibroacoustic Humming Wall that reacts to human touch—knock, swipe etc.—and conveys sensations both at the wall and to the vest and responds to and displays the heart beat and breath rate of the vest wearer.

We invite you to come and discuss the design and system processes and ecologies, challenges and core research questions and issues with us in an informal colloquium setting.

Date: 29 October
Time: 12.45-14.00
Place: RDB14 3.429

Computer vision is the digital version of human vision, where the eyes are replaced by a camera and the brain is replaced by algorithms implemented in software. The research field of computer vision is about developing and implementing such algorithms. The ambition is not only to replicate the abilities of human visual perception, but also going beyond human capabilities for example by seeing in the dark or measuring the actual distance to an object. One subfield of computer vision is Visual Analysis of People, where the focus is on automatic camera-based analysis of people and their whereabouts. The Visual Analysis of People (VAP) Lab focuses on the following research questions within this subfield:

• Is there anybody out there? Covering areas such as people detecting, counting  and tracking

• Who are they? Covering areas such as biometrics and recognition of individuals

• What are they doing? Covering areas such as pose estimation, action recognition and social signal processing

In this presentation the VAP Lab will give an overview over current research activities in the group as well as details of specific projects.

 

 

 

Date:  24 September
Time: 12.45-14.00
Place: RDB14 3.429

The Music Informatics and Cognition Research Group (MusIC) designs, implements and evaluates algorithms for automatically carrying out tasks that, if performed by humans, would be considered to require musical expertise. The group shares the common goal of understanding on the computational and algorithmic levels the cognitive processes that operate when musical experts compose, analyse, improvise and perform music. Although unified by this common goal, the group’s members adopt quite different but complementary approaches to achieving it. In this presentation, Gissel Velarde will introduce her work on using wavelet-based methods to segment, classify and discover patterns in melodies. Olivier Lartillot will present a new simplified model of motivic analysis based on multiparametric closed pattern and cyclic sequence mining. Brian Bemman will report on his attempts to develop an algorithmic model of Milton Babbitt’s compositional procedures. David Meredith will present his most recent work on geometric pattern discovery in music, focusing on methods for automatically discovering maximal scalable patterns.

For more information: http://www.create.aau.dk/music

Date:  12 June
Time: 13.00-14.00
Place: KAR6B-102

In this talk will present two projects conducted at QUT’s Institute for Future Environments, which consider user interaction at significantly different scales:
The MiniOrb project addresses the question of how to design systems that aid office
inhabitants in controlling their localised office environments, as well as support the process of negotiating shared preferences amongst co-located inhabitants. I will describe the design, use and evaluation of MiniOrb, a system that employs ambient and tangible interaction mechanisms to allow inhabitants of office environments to report on subjectively perceived office comfort levels. MiniOrb consists of a sensor device measuring localised environmental conditions, and two input / output devices: an ambient and tangible interaction device that allows users to maintain peripheral awareness of environmental factors and provides a tangible input mechanism to report personal preferences, and a mobile application, which displays measurements in a more explicit manner and allows for touch-based user input. Our aim was to explore the role of ubiquitous computing in the individual control of indoor climate and specifically answer the question to what extent ambient and tangible interaction mechanisms are suited for the task of capturing individual comfort preferences in a nonobtrusive manner.
The CubIT project developed a large-scale multi-user presentation and collaboration
platform running on QUT’s Cube facility. “The Cube” is a unique facility that combines 48
large multi-touch screens and very large-scale projection surfaces to form a very large
interactive learning and engagement space. The CubIT system was specifically designed to
allow QUT staff and students to utilise the capabilities of the Cube. CubIT’s primary purpose is to enable users to upload, interact with and share their own media content on the Cube’s display surfaces using a shared workspace approach. CubIT combines multiple  interfaces (multi-touch, mobile & web) each of which play different roles and support different interaction mechanisms, supporting a range of collaborative features including multi-user shared workspace interaction, drag and drop upload and sharing between users, session management and dynamic state control between different parts of the system. I will briefly introduce the Cube facility and describe the design and implementation of the CubIT system.

Bio
Dr Markus Rittenbruch is a Senior Research Fellow with the Institute for Future Environments (IFE) at the Queensland University of Technology (QUT) and a member of
QUT’s Urban Informatics Research Lab. He has over 19 years of research experience in the
fields of Human-Computer Interaction (HCI), Computer Supported Cooperative Work
(CSCW), and Ubiquitous Computing (UbiComp). Before joining QUT he has been invited to work at various research organisations in Germany and Australia, including the University of Bonn, the Distributed Systems Technology Centre (DSTC), the University of Queensland, the Australasian CRC for Interaction Design (ACID), and NICTA, Australia’s Information and Communications Technology Centre of Excellence.

Markus’ research focuses on solving problems in urban and organisational contexts through the design of engaging, innovative interaction technologies and approaches. His interests include the design of collaborative software, advanced models of awareness in groupware, in particular contextual and intentional awareness, social software, ambient, ubiquitous and physical computing, natural user interfaces and different ways of interfacing with sensors and sensor data. Markus has authored and co-authored over 50 publications in journals, edited books, and conference proceedings, including publications in the leading journals in HCI (Human-Computer Interaction Journal) and CSCW (Journal on Computer Supported Cooperative Work).

Date:  28 August 2013
Time: 13.00-14.00
Place: SOF9.101

The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piecewise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.

Bio
Sam Karimian-Azari received the B.Sc. degree in electrical engineering in 2001 from Isfahan University of Technology, Iran, and the M.Sc. degree in electrical engineering with emphasis on signal processing in 2012 from Blekinge Institute of Technology, Sweden. He is currently a Ph.D. fellow in electrical engineering at Aalborg University under the supervision of Mads Græsbøll Christensen. His research interests include the speech signal processing and microphone array processing techniques.

Date:  20 February 2013
Time: 13.00-14.00
Place: tba

Rainfed farming provides the bulk of the world’s food supply and has tremendous potential to increase its productivity. Most rainfed farms are operated by farmers from the bottom of the pyramid who lack information about novel agricultural techniques, what their peers are doing and in many developing areas have high illiteracy rates. Illiteracy does not feature in accessibility guidelines and its implications for interaction design are poorly understood. Most of the research on illiterate users in the ICT for development (ICT4D) literature has hitherto focused on mobile phones relying on keypads for input. Research methods of human computer interaction honed for lab settings need to be re-assessed and modified to conduct studies ‘in-the-wild’. In this talk I will reflect on the lessons learned from two applications for illiterate users designed within the scope of an ICT4D project, covering design implications, methodological pitfalls and the role text can play in multi-modal interfaces for illiterate people.

Bio
Hendrik Knoche holds an MSc (UoHamburg) and PhD (UC London) in computer science. His research interests include human-centered design, design thinking, mediated experiences, proxemics, and ICT for development along with methods for prototyping and evaluating applications and their user experiences “in the wild”. Since October 2012 he is working at ADMT in Aalborg.

Date:  05 December 2012
Time: 13.00-14.00
Place: tba

The information interaction in biological nervous system sprits a living body. Sensory neurons encode the spatiotemporal information of a stimulus into a sequential spike train. Any neural spike carries Inter-Spike-Interval (ISI) timing information as a message and a statistical inference of the ISI along a temporal window is assumed as a perception. When a sensor is missed, the spike generation is predicted through the prior perception and the uncertainty of this perception has to be increased. Multimodal sensory fusion improves the perception by decreasing the uncertainty and its combination with prediction improves the perception psychophysically. The Belief Propagation (BP) algorithm is used to perform sensory message passing in a spiking network. The last messages from asynchronous spikes of different modalities are preserved to make an association in a memory. A stationary perception is constructed by the memorized messages along a missing sense but the perception has to be dynamic to predict spatiotemporal information of a dynamic stimulus psychophysically. In this research we investigate the sensory perception through a stimulated spiking visual sensor and address the attenuation of preserved information by the drift-diffusion phenomenon for a dynamic perception. We experiment the variation of statistical features optimizes the spiking network in multimodal sensory perception over time and space.

Date: 21 November 2012
Time: 13.00-14.00
Place: NJ14 3-228 (Las Vegas)

In this talk, I give an overview of my dissertation research concerning the use of harmonics in audio/visual synthesis and composition. I introduce my main contribution to this area, the harmonic pattern function, a mathematical model capable of compactly describing a wide array of sound waveforms and visual patterns. The function is based on a rational function of inverse discrete Fourier transforms. In practice, however, sparse representations are more useful. For this purpose, a simplified notation for specifying non-
zero complex sinusoids comprising the patterns was developed. Additionally, the harmonic pattern function serves as a platform for formalizing relationships between myriad audio/visual pattern making techniques spanning from the 18th century geometric pen to modern digital signal processing.

Bio
Lance Putnam is a composer and researcher with interest in unified audio/visual synthesis, harmonic patterns, and perceptualization of dynamic systems. He holds a B.S. in Electrical and Computer Engineering from the University of Wisconsin, Madison and both an M.A.
in Electronic Music and Sound Design and a Ph.D. in Media Arts and Technology from the University of California, Santa Barbara. In 2006, he was awarded a prestigious NSF IGERT fellowship in Interactive Digital Multimedia. He was selected as one of eight international students to present his research in media signal processing at the 2007 Emerging Leaders in Multimedia Workshop at the IBM T. J. Watson Research Center in New York. His work, S Phase, has been shown at the 2008 International Computer Music Conference in Belfast, Northern Ireland and the 2009 Traiettorie Festival in Parma, Italy. From 2008 to 2012, he conducted research in audio/visual synthesis at the AlloSphere Research Facility in Santa Barbara, California.