| 1. |
- Sodhro, Ali Hassan, 1986-, et al.
(author)
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Internet of medical things for independent living and re-learning
- 2021
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In: GLOBAL HEALTH 2021 : The Tenth International Conference on Global Health Challenges At: Barcelona, Spain. - 9781612088921 ; , s. 1-5, s. 1-5
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Conference paper (other academic/artistic)abstract
- This position paper gives better insight about the role and importance of Internet of Medical Things (IoMT) for independent living and re-learning for older adults. Sensing Technologies are the paradigm shift for transforming conventional healthcare practices into the smart, and self-assisted activities, which are envisioned for today's medical world. Internet of Things (IoT) and IoMT are the interrelated technologies for promoting independent living and re-learning practices. In this paper, re-learning is defined as the process for adults to recover useful instrumental activities of daily living skills that have been lost after an impairment.
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| 2. |
- Giordano, M, et al.
(author)
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Design and Implementation of a Whole-Body Haptic Suit for “Ilinx”, a Multisensory Art Installation
- 2015
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In: Proc. of the 12th Int. Conference on Sound and Music Computing (SMC-15). - Maynooth, Ireland : Maynooth University. ; , s. 169-175
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Conference paper (peer-reviewed)abstract
- Ilinx is a multidisciplinary art/science research project focusing on the development of a multisensory art installation involving sound, visuals and haptics. In this paper we describe design choices and technical challenges behind the development of the haptic technology embedded into six augment garments. Starting from perceptual experiments, conducted to characterize the thirty vibrating actuators used in the garments, we describe hardware and software design, and the development of several haptic effects. The garments have successfully been used by over 300 people during the premiere of the installation in the TodaysArt 2014 festival in The Hague.
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| 3. |
- Lindeberg, Tony, 1964-, et al.
(author)
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Automatic generation of break points for MDL based curve classification
- 1995
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In: Scandinavian Conference on Image Analysis. ; , s. 767-776
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Conference paper (peer-reviewed)abstract
- This article presents a method for segmenting and classifying edges using minimum description length (MDL) approximation with automatically generated break points. A scheme is proposed where junction candidates are first detected in a multi-scale pre-processing step, which generates junction candidates with associated regions of interest. These junction features are matched to edges based on spatial coincidence. For each matched pair, a tentative break point is introduced at the edge point closest to the junction. Finally, these feature combinations serve as input for an MDL approximation method which tests the validity of the break point hypotheses and classifies the resulting edge segments as either ``straight'' or ``curved''. Experiments on real world image data demonstrate the viability of the approach.
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| 4. |
- Ahlbäck, Sven, 1960-
(author)
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Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes
- 2021
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Conference paper (peer-reviewed)abstract
- This paper proposes a deep convolutional neural network for performing note-level instrument assignment. Given a polyphonic multi-instrumental music signal along with its ground truth or predicted notes, the objective is to assign an instrumental source for each note. This problem is addressed as a pitch-informed classification task where each note is analysed individually. We also propose to utilise several kernel shapes in the convolutional layers in order to facilitate learning of timbre-discriminative feature maps. Experiments on the MusicNet dataset using 7 instrument classes show that our approach is able to achieve an average F-score of 0.904 when the original multi-pitch annotations are used as the pitch information for the system, and that it also excels if the note information is provided using third-party multi-pitch estimation algorithms. We also include ablation studies investigating the effects of the use of multiple kernel shapes and comparing different input representations for the audio and the note-related information.
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| 5. |
- Simbelis, Vygandas, et al.
(author)
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Delete by Haiku: Poetry from Old SMS Messages
- 2017
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In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. - Denver, USA : ACM Press. ; , s. 460-460
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Conference paper (peer-reviewed)abstract
- The work draws on repurposing practices to inform design for deletion and handling of digital waste – a way of letting go – in graceful and aesthetically appealing ways.Delete by Haiku 1 is a mobile phone application that explores how deleting old text messages can become an enjoyable and creative practice by turning messages into haiku poetry. Through the application users interactively repurpose selected old text messages on their mobile phone into a haiku poem aided by a haiku- generating algorithm. By repeatedly pinching the selected messages they break apart into words that tumble down in a Tetris like manner. Gradually words are deleted until the remaining words find their position and form a haiku.The video presents a walkthrough of how to interact with the application to select messages in various ways, how to apply ‘themes’ to gain some control over the generation process, and eventually share created poems with others through social media.
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| 6. |
- Trotto, Ambra, 1975-, et al.
(author)
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Designing in Skills : Nurturing Personal Engagement in Design
- 2013
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In: Proceedings of IASDR 2013. - : IASDR.
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Conference paper (peer-reviewed)abstract
- Potentialities of skills in design are intriguing. Skills open up new perceptions of the world, transform human understanding and engagement with the world itself. Our explorations suggest that leveraging existing designer's skills and training for new skills might remarkably contribute in designing for richness of meaning. We developed several skills-based techniques and validated them through a number of workshops. These techniques encourage participants to make before thinking, to reflect on the outcomes of making, and proceed by iterations of reflection-on-action. Also developed are techniques to increase the frequency of such iterations to minimize loss of meaning by abstraction, and techniques to foster depth of reflection. We organised these techniques into a framework, Designing in Skills (DiS). DiS nurtures personal engagement of designers, compelling a sense of responsibility; it supports designers toward what we call the "first-person perspective", enabling application of individual sensitivities. This paper presents firstly the motivation of our work and the surrounding theory. Subsequently, it introduces the framework and its development, using design cases that have led to its consolidation. It illustrates how DiS prepares for design practice and reflects on the theme of experiential richness.
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| 7. |
- Ashfaq, Awais, 1990-, et al.
(author)
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KAFE : Knowledge and Frequency Adapted Embeddings
- 2022
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In: Machine Learning, Optimization, and Data Science. - Cham : Springer. - 9783030954697 - 9783030954703 ; , s. 132-146
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Conference paper (peer-reviewed)abstract
- Word embeddings are widely used in several Natural Language Processing (NLP) applications. The training process typically involves iterative gradient updates of each word vector. This makes word frequency a major factor in the quality of embedding, and in general the embedding of words with few training occurrences end up being of poor quality. This is problematic since rare and frequent words, albeit semantically similar, might end up far from each other in the embedding space.In this study, we develop KAFE (Knowledge And Frequency adapted Embeddings) which combines adversarial principles and knowledge graph to efficiently represent both frequent and rare words. The goal of adversarial training in KAFE is to minimize the spatial distinguishability (separability) of frequent and rare words in the embedding space. The knowledge graph encourages the embedding to follow the structure of the domain-specific hierarchy, providing an informative prior that is particularly important for words with low amount of training data. We demonstrate the performance of KAFE in representing clinical diagnoses using real-world Electronic Health Records (EHR) data coupled with a knowledge graph. EHRs are notorious for including ever-increasing numbers of rare concepts that are important to consider when defining the state of the patient for various downstream applications. Our experiments demonstrate better intelligibility through visualisation, as well as higher prediction and stability scores of KAFE over state-of-the-art. © Springer Nature Switzerland AG 2022
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| 8. |
- Núñez-Pacheco, Claudia, et al.
(author)
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Sharing Earthquake Narratives : Making Space for Others in our Autobiographical Design Process
- 2023
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In: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. - New York, NY, United States.
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Conference paper (peer-reviewed)abstract
- As interaction designers are venturing to design for others based on autobiographical experiences, it becomes particularly relevant to critically distinguish the designer’s voice from others’ experiences. However, few reports go into detail about how self and others mutually shape the design process and how to incorporate external evaluation into these designs. We describe a one-year process involving the design and evaluation of a prototype combining haptics and storytelling, aiming to materialise and share somatic memories of earthquakes experienced by a designer and her partner. We contribute with three strategies for bringing others into our autobiographical processes, avoiding the dilution of frst-person voices while critically addressing design faws that might hinder the representation of our stories.
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| 9. |
- Börütecene, Ahmet, 1983-, et al.
(author)
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Looking at Future Venice(s) through Coffee Grounds : Coffee Cup Reading as a Method for Creating Speculative Design Fictions
- 2022
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In: Creativity and Cognition. - New York, NY, USA : ACM. - 9781450393270 ; , s. 643-645
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Conference paper (peer-reviewed)abstract
- Coffee cup reading is a popular social activity in some cultures and seen as a playful way of speculating on a person's past, present and future life. If we think of coffee cup reading as a way to envision futures, can we use this practice as a method for creating speculative design fictions? This paper proposes a workshop in which 10 people living in Venice will enact future inhabitants of the city and read each other's coffee cup in pairs to create speculative design fictions that envision Venice in 2030. The workshop will result in a catalogue of design fictions comprising text and drawings produced by each pair that will present different future visions for Venice. After the exhibition, this catalogue will be exhibited in a dedicated online space to present the design fictions and photos and/or videos created during the workshop as well as visitors' feedback. The workshop aims to provide insights about how coffee cup reading as a traditional way of looking into possible futures could be used as a low-threshold design activity to reveal urban inhabitants’ visions and concerns towards uncertain futures as well as today's challenges.
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| 10. |
- Fernaeus, Ylva, et al.
(author)
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Pixel Pictures
- 2004
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In:
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Conference paper (other academic/artistic)
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