PUMA publications for /tag/ComputingMon Apr 28 00:38:40 CEST 2025Surveillance Graphs: Vulgarity and Cloud Orthodoxy in Linked Data Infrastructures2023ai artificial cloud computing data infrastructure intelligence linked semantic surveillance web Mon Apr 14 10:53:13 CEST 2025A Gaia-X-based Ecosystem for Manufacturing: Lessons Learned from the Project Gaia-X4ICMPublication2024Cloud Computing Digital Ecosystem Gaia-X ICM KIT Manufacturing isw Thu Jul 11 10:05:52 CEST 2024arXiv:1405.00061--10Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction2014Computing Eye Gaze-based Interaction, Mobile Tracking, Wearable eye hcics movement, vis Commercial head-mounted eye trackers provide useful features to customers in industry and research but are expensive and rely on closed source hardware and software. This limits the application areas and use of mobile eye tracking to expert users and inhibits user-driven development, customisation, and extension. In this paper we present Pupil -- an accessible, affordable, and extensible open source platform for mobile eye tracking and gaze-based interaction. Pupil comprises 1) a light-weight headset with high-resolution cameras, 2) an open source software framework for mobile eye tracking, as well as 3) a graphical user interface (GUI) to playback and visualize video and gaze data. Pupil features high-resolution scene and eye cameras for monocular and binocular gaze estimation. The software and GUI are platform-independent and include state-of-the-art algorithms for real-time pupil detection and tracking, calibration, and accurate gaze estimation. Results of a performance evaluation show that Pupil can provide an average gaze estimation accuracy of 0.6 degree of visual angle (0.08 degree precision) with a latency of the processing pipeline of only 0.045 seconds.Thu Jul 11 10:05:52 CEST 2024IEEE Pervasive Computing248-57What's in the Eyes for Context-Awareness?102011Computing Machine Pervasive Wearable computing, hcics learning, processing, signal vis Eye movements are a rich source of information about a person's context. Analyzing the link between eye movements and cognition might even allow us to develop cognition-aware pervasive computing systems that assess a person's cognitive context.Thu Jul 11 10:05:52 CEST 2024IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)spotlight4741-753Eye {M}ovement {A}nalysis for {A}ctivity {R}ecognition {U}sing {E}lectrooculography332011Feature Ubiquitous and computing evaluation hcics processing, selection, signal vis In this work we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data was recorded using an electrooculography (EOG) system. We first describe and evaluate algorithms for detecting three eye movement characteristics from EOG signals - saccades, fixations, and blinks - and propose a method for assessing repetitive patterns of eye movements. We then devise 90 different features based on these characteristics and select a subset of them using minimum redundancy maximum relevance feature selection (mRMR). We validate the method using an eight participant study in an office environment using an example set of five activity classes: copying a text, reading a printed paper, taking hand-written notes, watching a video, and browsing the web. We also include periods with no specific activity (the NULL class). Using a support vector machine (SVM) classifier and a person-independent (leave-one-out) training scheme, we obtain an average precision of 76.1% and recall of 70.5% over all classes and participants. The work demonstrates the promise of eye-based activity recognition (EAR) and opens up discussion on the wider applicability of EAR to other activities that are difficult, or even impossible, to detect using common sensing modalities.Thu Jul 11 10:05:52 CEST 2024Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)84-93It's in {Y}our {E}yes - {T}owards {C}ontext-{A}wareness and {M}obile {HCI} {U}sing {W}earable {EOG} {G}oggles2008(EOG), (HCI), Computing Context-awareness, Electrooculography Eye Gestures, Human-Computer Interaction Tracking, Wearable hcics vis In this work we describe the design, implementation and evaluation of a novel eye tracker for context-awareness and mobile HCI applications. In contrast to common systems using video cameras, this compact device relies on Electrooculography (EOG). It consists of goggles with dry electrodes integrated into the frame and a small pocket-worn component with a DSP for real-time EOG signal processing. The device is intended for wearable and standalone use: It can store data locally for long-term recordings or stream processed EOG signals to a remote device over Bluetooth. We describe how eye gestures can be efficiently recognised from EOG signals for HCI purposes. In an experiment conducted with 11 subjects playing a computer game we show that 8 eye gestures of varying complexity can be continuously recognised with equal performance to a state-of-the-art video-based system. Physical activity leads to artefacts in the EOG signal. We describe how these artefacts can be removed using an adaptive filtering scheme and characterise this approach on a 5-subject dataset. In addition to explicit eye movements for HCI, we discuss how the analysis of unconscious eye movements may eventually allow to deduce information on user activity and context not available with current sensing modalities.Thu Jul 11 10:05:52 CEST 2024Adj. Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)369-372Solar System: Smooth Pursuit Interactions Using EOG Glasses2016computing eye gaze hcics interaction, tracking, vis wearable Solar System implements smooth pursuit eye movement interactions on commercial smart glasses using electrooculography. The system requires no calibration and little to no training. We present a prototype implementation, describe initial user tests and show several application scenarios for hands-free eye gaze interactions.Thu Jul 11 10:05:52 CEST 2024Ext. Abstr. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)3259-3264Wearable EOG Goggles: Eye-Based Interaction in Everyday Environments2009(EOG), (HCI), Computing Context-awareness, Electrooculography Eye Gestures, Human-Computer Interaction Tracking, Wearable hcics vis In this paper, we present an embedded eye tracker for context-awareness and eye-based human-computer interaction – the wearable EOG goggles. In contrast to common systems using video, this unobtrusive device relies on Electrooculography (EOG). It consists of goggles with dry electrodes integrated into the frame and a small pocket-worn component with a powerful microcontroller for EOG signal processing. Using this lightweight system, sequences of eye movements, so-called eye gestures, can be efficiently recognised from EOG signals in real-time for HCI purposes. The device is self-contained solution and allows for seamless eye motion sensing, context-recognition and eye-based interaction in everyday environments.Thu Jan 13 13:37:49 CET 20222021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)151-157Architecture-based Evaluation of Scaling Policies for Cloud Applications2021applications cloud computing elasticity performance policies resilience scaling threshold-based Mon Oct 11 10:46:24 CEST 2021Journal of Cloud Computing11--14Container orchestration on HPC systems through Kubernetes102021Cloud Container HPC Kubernetes Singularity TORQUE computing manager orchestration workload Mon Sep 06 12:52:11 CEST 2021IET Generation, Transmission & Distribution5101600-1612Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods152021Comparison Computing active and based distribution feasible flow methods networks: of operating optimal power random region sampling the validation Wed Oct 07 14:13:11 CEST 2020PQ Prediction by Way of Parallel Computing - Benchmark and Sensitivity Analysis for classical ML Approaches2019Analysis Approaches Benchmark Computing ML PQ Parallel Prediction Sensitivity classical Wed Jun 10 14:02:57 CEST 2020Developing novel high performance computing and messaging solutions for smart distribution network operation2011computing distribution high messaging network novel operation performance smart solutions Fri May 22 15:08:42 CEST 2020Proceedings of the SimAUD 2015, Symposium on Simulation for Architecture and Urban Design, Washington DC, USA152-159Computing curved-folded tessellations through straight-folding approximation2015curved folded körner tessellation folding chandra curved-folded straight approxmation computing itke from:petraheim 2015 weinstock kowli koronaki spiteri amin straight-folding Tue May 19 12:04:43 CEST 2020Proceedings of the SimAUD 2015, Symposium on Simulation for Architecture and Urban Design, Washington DC, USA152-159Computing curved-folded tessellations through straight-folding approximation20152015 amin approxmation chandra computing curved curved-folded folded folding itke koronaki kowli körner spiteri straight straight-folding tessellation weinstock Mon May 18 14:12:20 CEST 2020Probabilistische Lastmodellierung von Haushaltslasten2012Energy Load Parameter Power Probability computing consumption demand density distribution engineering estimation flow function modeling Mon May 13 13:31:29 CEST 2019Innsbruck, Austria{ International Conference on High Performance Computing \& Simulation (HPCS 2016) }jul180-187{Control of Autonomic Parallelism Adaptation on Software Transactional Memory}2016Autonomic computing control feedback memory parallelism synchronization transacational Tue Jun 26 09:25:44 CEST 2018IEEE Internet ComputingSept566-71Principles of Elastic Processes152011cloud computing pricing processes soc2018 Tue Jun 26 09:18:47 CEST 2018IEEE Internet Computingmay364-69The Social Compute Unit152011Collaboration computing data network soc2018 social workflow Tue Jun 26 09:10:42 CEST 2018IEEE Cloud Computingnov676-83Osmotic Computing: A New Paradigm for Edge/Cloud Integration32016IoT cloud computing distributed edge-cloud soc2018 system transfer ComputingCommunity for tag(s) Computing