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Subject = Signal Processing;
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Displaying Results 1 - 25 of 230 on page 1 of 10
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A Heuristic Method for Automatic Gaze Detection in Constrained Multi-Modal Dialogue Corpora
(2020)
Koutsombogera, Maria; Vogel, Carl
A Heuristic Method for Automatic Gaze Detection in Constrained Multi-Modal Dialogue Corpora
(2020)
Koutsombogera, Maria; Vogel, Carl
Abstract:
We describe a heuristic-based approach to determining gaze allocation automatically in a multi-modal task oriented dialogue corpus. We present the development of the system and the evaluation of its performance and discuss the findings, including the shortcomings and the perspectives of the implemented approach.
http://hdl.handle.net/2262/94040
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3D Location and Orientation Estimation using Angle of Arrival
(2015)
Ballal, Tarig; Bleakley, Chris J.
3D Location and Orientation Estimation using Angle of Arrival
(2015)
Ballal, Tarig; Bleakley, Chris J.
Abstract:
6th IEEE International Symposium on Intelligent Signal Processing (WISP), Budapest, Hungary, 26 - 28 August, 2009
This paper discusses the problem of joint location and orientation estimation of a receiver using only angle of arrival (AOA) information. Conventional formulations of the problem consist of a number of nonlinear equations where the number of unknowns exceeds the number of equations. However, formulations presented in this paper simplifies the problem in a way that leads of efficient solutions. Two solutions are presented and their performance is compared via simulations using an indoor application as an example. Results emphasize the effectiveness of the the proposed methods.
Science Foundation Ireland
http://hdl.handle.net/10197/7229
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A bespoke signal processing algorithm for operational modal testing of post-tensioned steel and concrete beams
(2019)
Noble, Darragh; Nogal, Maria; O'Connor, Alan; Pakrashi, Vikram
A bespoke signal processing algorithm for operational modal testing of post-tensioned steel and concrete beams
(2019)
Noble, Darragh; Nogal, Maria; O'Connor, Alan; Pakrashi, Vikram
Abstract:
EVACES 2017: International Conference on Experimental Vibration Analysis for Civil Engineering Structures, San Diego, California, United States, July 12-14 2017
The extraction of modal properties, specifically natural frequency, damping ratio and mode shape is a difficult task, especially when output-only data is measured. The accuracy of the estimation these modal properties is compromised by noisy signals, and signal filtering is required to suppress unwanted frequency content. Care is required however to avoid over-filtering of the output data, which can eliminate valid structural frequency content if required care is not exercised. This paper describes the development of a bespoke signal processing algorithm to extract the modal properties of both simply supported post-tensioned steel and concrete sections. Dynamic impact testing was conducted on a series of different post-tensioned steel rectangular hollow sections, and 9 different post-tensioned concrete beams, each with d...
http://hdl.handle.net/10197/10339
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A Brief Introduction to Speech Synthesis and Voice Modification
(2007)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
A Brief Introduction to Speech Synthesis and Voice Modification
(2007)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
Abstract:
For both engineers and linguists, the computer synthesis of natural speech is an objective that would provide many useful applications to human-computer interaction, including the realm of electro-acoustic music. The purpose of this paper is to introduce the area of speech synthesis by providing an overview of the three main methods of computer speech synthesis; namely concatenative, articulatory and formant syntheses. Some aspects of the current state of the technology are illuminated and the final section will explain the author’s motivation and current research approach to the field of voice modification.
https://arrow.dit.ie/argcon/56
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A combined audio-visual contribution to event detection in field sports broadcast video. Case study: Gaelic football
(2003)
Sadlier, David A.; O'Connor, Noel E.; Marlow, Seán; Murphy, Noel
A combined audio-visual contribution to event detection in field sports broadcast video. Case study: Gaelic football
(2003)
Sadlier, David A.; O'Connor, Noel E.; Marlow, Seán; Murphy, Noel
Abstract:
In this paper we propose novel, audio-visual analysis techniques for event detection in broadcast TV sports video content. The scope of the design is constrained to the specialized domain of 'field sport', and specifically, Gaelic Football is presented as an experimental case study. We show that a combination of speech-band energy tracking in the audio domain, coupled with colour dominance pattern recognition in the video domain, provides a useful contribution to event detection for broadcast Gaelic Football matches. It is projected that, any conclusions made therein may be extended such that they function on sports content of a similar nature such as American Football, Australian Rules, Rugby Union etc.
http://doras.dcu.ie/244/
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A Delay Vector Variance based marker for an output-only assessment of structural changes in tension leg platforms
(2015)
Jaksic, Vesna; Wright, Christopher S.; Mandic, D. P.; Murphy, Jimmy; Pakrashi, Vikram
A Delay Vector Variance based marker for an output-only assessment of structural changes in tension leg platforms
(2015)
Jaksic, Vesna; Wright, Christopher S.; Mandic, D. P.; Murphy, Jimmy; Pakrashi, Vikram
Abstract:
Although aspects of power generation of many offshore renewable devices are well understood, their dynamic responses under high wind and wave conditions are still to be investigated to a great detail. Output only statistical markers are important for these offshore devices, since access to the device is limited and information about the exposure conditions and the true behaviour of the devices are generally partial, limited, and vague or even absent. The markers can summarise and characterise the behaviour of these devices from their dynamic response available as time series data. The behaviour may be linear or nonlinear and consequently a marker that can track the changes in structural situations can be quite important. These markers can then be helpful in assessing the current condition of the structure and can indicate possible intervention, monitoring or assessment. This paper considers a Delay Vector Variance based marker for changes in a tension leg platform tested in an ocean...
http://hdl.handle.net/10468/2587
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A framework for comprehensive analysis of a swing in sports using low-cost inertial sensors
(2014)
Ahmadi, Amin; Destelle, Francois; Monaghan, David; O'Connor, Noel E.; Richter, Chr...
A framework for comprehensive analysis of a swing in sports using low-cost inertial sensors
(2014)
Ahmadi, Amin; Destelle, Francois; Monaghan, David; O'Connor, Noel E.; Richter, Chris; Moran, Kieran
Abstract:
We present a novel framework to monitor the three- dimensional trajectory (orientation and position) of a golf swing using miniaturized inertial sensors. Firstly we employed a highly accurate and computationally efficient revised gradient descent algorithm to obtain the orientation of a golf club. Secondly, we designed a series of digital filters to determine the backward and forward segments of the swing, enabling us to calculate drift-free linear velocity along with the relative 3D position of the golf club during the entire swing. Finally, the calculated motion trajectory was verified against a ground truth VICON system using Iterative Closest Point (ICP) in conjunction with Principal Component Analysis (PCA). The computationally efficient framework present here achieves a high level of accuracy (r = 0.9885, p < 0.0001) for such a low-cost system. This framework can be utilized for reliable movement technique evaluation and can provide near real-time feedback for athletes in v...
http://doras.dcu.ie/20594/
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A framework for evaluating stereo-based pedestrian detection techniques
(2008)
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
A framework for evaluating stereo-based pedestrian detection techniques
(2008)
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
Abstract:
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been investigated using both traditional 2-D computer vision techniques and, more recently, 3-D stereo information. However, to date, a quantitative assessment of the performance of stereo-based pedestrian detection has been problematic, mainly due to the lack of standard stereo-based test data and an agreed methodology for carrying out the evaluation. This has forced researchers into making subjective comparisons between competing approaches. In this paper, we propose a framework for the quantitative evaluation of a short-baseline stereo-based pedestrian detection system. We provide freely available synthetic and real-world test data and recommend a set of evaluation metrics. This allows researchers to benchmark systems, not only with respect to other stereo-based approaches, but also with more traditional 2-D app...
http://doras.dcu.ie/652/
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A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video
(2004)
Sadlier, David A.; O'Connor, Noel E.; Murphy, Noel; Marlow, Seán
A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video
(2004)
Sadlier, David A.; O'Connor, Noel E.; Murphy, Noel; Marlow, Seán
Abstract:
In this paper we propose a novel audio-visual feature-based framework, for event detection in field sports broadcast video. The system is evaluated via a case-study involving MPEG encoded soccer video. Specifically, the evidence gathered by various feature detectors is combined by means of a learning algorithm (a support vector machine), which infers the occurrence of an event, based on a model generated during a training phase, utilizing a corpus of 25 hours of content. The system is evaluated using 25 hours of separate test content. Following an evaluation of results obtained, it is shown for this case, that both high precision and recall statistics are achievable.
http://doras.dcu.ie/399/
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A generic news story segmentation system and its evaluation
(2004)
O'Hare, Neil; Smeaton, Alan F.; Czirjék, Csaba; O'Connor, Noel E.; Murphy, Noel
A generic news story segmentation system and its evaluation
(2004)
O'Hare, Neil; Smeaton, Alan F.; Czirjék, Csaba; O'Connor, Noel E.; Murphy, Noel
Abstract:
The paper presents an approach to segmenting broadcast TV news programmes automatically into individual news stories. We first segment the programme into individual shots, and then a number of analysis tools are run on the programme to extract features to represent each shot. The results of these feature extraction tools are then combined using a support vector machine trained to detect anchorperson shots. A news broadcast can then be segmented into individual stories based on the location of the anchorperson shots within the programme. We use one generic system to segment programmes from two different broadcasters, illustrating the robustness of our feature extraction process to the production styles of different broadcasters.
http://doras.dcu.ie/242/
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A holistic framework for environmental impacts in production tools to enable optimisation
(2012)
Posten, Katharina
A holistic framework for environmental impacts in production tools to enable optimisation
(2012)
Posten, Katharina
Abstract:
Energy and resource efficiency are key for establishing a sustainable manufacturing sector. For this, a holistic environmental impact assessment methodology is required which combines environmental regulations and energy efficiency methods to give standardised environmental impacts that can be easily compared across different products. Focussing this method on production tools maximises the savings enabled through this standardised approach, as they directly affect all other factory systems. The methodology has to include not only the volume of consumption of substances used but also their embedded footprints of energy, greenhouse gasses and other environmental aspects such as toxicity or eutrophication. Including these allows the methodology to balance substances against each other whilst keeping in mind tool consumption rates and tool operation. For complex manufacturing tools, the selection of which substances to monitor is another important consideration, to allow widespread ada...
http://doras.dcu.ie/17030/
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A hybrid method for indoor user localisation
(2009)
Redzic, Milan; Ó Conaire, Ciarán; Brennan, Conor; O'Connor, Noel E.
A hybrid method for indoor user localisation
(2009)
Redzic, Milan; Ó Conaire, Ciarán; Brennan, Conor; O'Connor, Noel E.
Abstract:
In this work we describe an approach to indoor user localisation by combining image-based and RF-based methods and compare this new approach to prior work. This paper details a new algorithm for indoor user localisation, demonstrating more effective user localisation than prior approaches and therefore presents the next step in combining two different technologies for localisation in indoor type environments.
http://doras.dcu.ie/14798/
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A low complexity hardware architecture for motion estimation
(2006)
Larkin, Daniel; Muresan, Valentin; O'Connor, Noel E.
A low complexity hardware architecture for motion estimation
(2006)
Larkin, Daniel; Muresan, Valentin; O'Connor, Noel E.
Abstract:
This paper tackles the problem of accelerating motion estimation for video processing. A novel architecture using binary data is proposed, which attempts to reduce power consumption. The solution exploits redundant operations in the sum of absolute differences (SAD) calculation, by a mechanism known as early termination. Further data redundancies are exploited by using a run length coding addressing scheme, where access to pixels which do not contribute to the final SAD value is minimised. By using these two techniques operations and memory accesses are reduced by 93.29% and 69.17% respectively relative to a systolic array implementation.
http://doras.dcu.ie/229/
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A machine learning framework for automatic human activity classification from wearable sensors
(2015)
Mitchell, Edmond
A machine learning framework for automatic human activity classification from wearable sensors
(2015)
Mitchell, Edmond
Abstract:
Wearable sensors are becoming increasingly common and they permit the capture of physiological data during exercise, recuperation and everyday activities. This work investigated and advanced the current state-of-the-art in machine learning technology for the automatic classification of captured physiological data from wearable sensors. The overall goal of the work presented here is to research and investigate every aspect of the technology and methods involved in this field and to create a framework of technology that can be utilised on low-cost platforms across a wide range of activities. Both rudimentary and advanced techniques were compared, including those that allowed for both real-time processing on an android platform and highly accurate postprocessing on a desktop computer. State-of-the-art feature extraction methods such as Fourier and Wavelet analysis were also researched to ascertain how well they could extract discriminative physiological information. Various classifiers...
http://doras.dcu.ie/20336/
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A machine vision approach to human activity recognition using photoplethysmograph sensor data
(2018)
Brophy, Eoin; Wang, Zhengwei; Dominguez Veiga, José Juan; Ward, Tomás E.
A machine vision approach to human activity recognition using photoplethysmograph sensor data
(2018)
Brophy, Eoin; Wang, Zhengwei; Dominguez Veiga, José Juan; Ward, Tomás E.
Abstract:
Human activity recognition (HAR) is an active area of research concerned with the classification of human motion. Cameras are the gold standard used in this area, but they are proven to have scalability and privacy issues. HAR studies have also been conducted with wearable devices consisting of inertial sensors. Perhaps the most common wearable, smart watches, comprising of inertial and optical sensors, allow for scalable, non-obtrusive studies. We are seeking to simplify this wearable approach further by determining if wrist-mounted optical sensing, usually used for heart rate determination, can also provide useful data for relevant activity recognition. If successful, this could eliminate the need for the inertial sensor, and so simplify the technological requirements in wearable HAR. We adopt a machine vision approach for activity recognition based on plots of the optical signals so as to produce classifications that are easily explainable and interpretable by non-technical users...
http://doras.dcu.ie/22433/
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A Mobile ECG Monitoring System with Context Collection
(2009)
Li, Jin Peng; Berry, Damon; Hayes, Richard
A Mobile ECG Monitoring System with Context Collection
(2009)
Li, Jin Peng; Berry, Damon; Hayes, Richard
Abstract:
Preventative health management represents a shift from the traditional approach of reactive treatment-based healthcare towards a proactive wellness-management approach where patients are encouraged to stay healthy with expert support when they need it, at any location and any time. This work represents a step along the road towards proactive, preventative healthcare for cardiac patients. It seeks to develop a smart mobile ECG monitoring system that requests and records context information about what is happening around the subject when an arrhythmia event occurs. Context information about the subject’s activities of daily living will, it is hoped, provide an enriched data set for clinicians and so improve clinical decision making. As a first step towards a mobile cardiac wellness guideline system, the authors present a system which can receive bio-signals that are wirelessly streamed across a body area network from Bluetooth enabled electrocardiographs. The system can store signals ...
https://arrow.dit.ie/teapotcon/24
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A multi-modal dance corpus for research into real-time interaction between humans in online virtual environments
(2011)
Gowing, Marc; Kelly, Philip; O'Connor, Noel E.
A multi-modal dance corpus for research into real-time interaction between humans in online virtual environments
(2011)
Gowing, Marc; Kelly, Philip; O'Connor, Noel E.
Abstract:
We present a new, freely available, multimodal corpus for research into, amongst other areas, real-time realistic interaction between humans in online virtual environments. The specific corpus scenario focuses on an online dance class application scenario where students, with avatars driven by whatever 3D capture technology are locally available to them, can learn choerographies with teacher guidance in an online virtual ballet studio. As the data corpus is focused on this scenario, it consists of student/teacher dance choreographies concurrently captured at two different sites using a variety of media modalities, including synchronised audio rigs, multiple cameras, wearable inertial measurement devices and depth sensors. In the corpus, each of the several dancers perform a number of fixed choreographies, which are both graded according to a number of specific evaluation criteria. In addition, ground-truth dance choreography annotations are provided. Furthermore, for unsynchronised ...
http://doras.dcu.ie/16794/
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A non-linear operator based method for harmonic feature extraction from speech signals
(2011)
Kavanagh, Darren F.; Boland, Frank
A non-linear operator based method for harmonic feature extraction from speech signals
(2011)
Kavanagh, Darren F.; Boland, Frank
Abstract:
Paper presented at the IEEE International Conference on Signal Processing and Communications (ICSPC 2007), 24-27 November 2007, Dubai, United Arab Emirates
An important pre-processing stage in speech recognition systems is that of extracting phonetically pertinent acoustic features from the speech signal. These features form the basis for discriminative classification and serve as cues for the identification of phonetic events in speech. The paper addresses this by presenting a novel method for the classification of harmonic (short-term periodic) and non-harmonic segments in speech signals. Classification is accomplished by proposing two new features derived from the non-linear Teager energy operator (TEO). The features proposed are the TEO-Weighted Harmonic Product (TEO-WHP*)and the TEO-Weighted Harmonic Sum (TEO-WHS*). Experiments are reported and discussed that demonstrate the effectiveness and the importance of these features as a valuable preprocessor for many speech system...
http://hdl.handle.net/10197/3336
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A Real-time Framework for Video Time and Pitch Scale Modification
(2008)
Damnjanovic, Ivan; Barry, Dan; Dorran, David; Reiss, Josh
A Real-time Framework for Video Time and Pitch Scale Modification
(2008)
Damnjanovic, Ivan; Barry, Dan; Dorran, David; Reiss, Josh
Abstract:
A framework is presented which addresses the issues related to the real-time implementation of synchronised video and audio time-scale and pitch-scale modification algorithms. It allows for seamless real-time transition between continually varying, independent time-scale and pitch-scale parameters arising as a result of manual or automatic intervention. We illuminate the problems which arise in a real-time context as well as provide novel solutions to prevent artefacts, minimise latency, and improve synchronisation. The time and pitch scaling approach is based on a modified phase vocoder with optional phase locking and an integrated transient detector which enables high quality transient preservation in real-time. A novel method for audio/visual synchronisation was implemented in order to ensure no perceptible latency between audio and video while real-time time scaling and pitch shifting is applied. Evaluation results are reported which demonstrate both high audio quality and minim...
https://arrow.dit.ie/argcon/47
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A review of some recent work in the area of imaging and optical signal processing
(2011)
Sheridan, John T.
A review of some recent work in the area of imaging and optical signal processing
(2011)
Sheridan, John T.
Abstract:
Paper presented at the Imaging Systems (IS) conference, Tucson, Arizona, June 7, 2010
A concise review is presented of research recently carried out within our research group. Topics discussed include: (i) Imaging through turbulent media using Lucky Imaging combined with synthetic apertures; (ii) Numerical algorithms and simulation of quadratic phases systems, i.e. the Fast Linear Canonical Transform, appropriate sampling, aliasing and the Wigner Distribution Function; (iii) Controlling speckle in such optical systems and speckle based metrology; (iv) Digital holographic systems and their application; and (v) Optical encryption and multiplexing.
Science Foundation Ireland
au, ti, sp, la, ab - kpw27/10/11
http://hdl.handle.net/10197/3344
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A Surface Inspection Machine Vision System that Includes Fractal Texture Analysis
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitry
A Surface Inspection Machine Vision System that Includes Fractal Texture Analysis
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitry
Abstract:
The detection, recognition and classification of features in a digital image is an important component of quality control systems in production and process engineering and industrial systems monitoring, in general. In this paper, a new pattern recognition system is presented that has been designed for the specific task of monitoring the quality of sheet-steel production in a rolling mill. The system is based on using both the Euclidean and Fractal geometric properties of an imaged object to develop training data that is used in conjunction with a supervised learning procedure based on the application of a fuzzy inference engine. Thus, the classification method includes the application of a set of features which include fractal parameters such as the Lacunarity and Fractal Dimension and thereby incorporates the characterisation of an object in terms of texture that, in this application, has metallurgical significance. The principal issues associated with object recognition are presen...
https://arrow.dit.ie/engscheleart2/32
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Active quench and reset integrated circuit with novel hold-off time control logic for Geiger-mode avalanche photodiodes
(2012)
Deng, Shijie; Morrison, Alan P.
Active quench and reset integrated circuit with novel hold-off time control logic for Geiger-mode avalanche photodiodes
(2012)
Deng, Shijie; Morrison, Alan P.
Abstract:
This Letter presents an active quench-and-reset circuit for Geiger-mode avalanche photodiodes (GM-APDs). The integrated circuit was fabricated using a conventional 0.35 μm complementary metal oxide semiconductor process. Experimental results show that the circuit is capable of linearly setting the hold-off time from several nanoseconds to microseconds with a resolution of 6.5 ns. This allows the selection of the optimal afterpulse-free hold-off time for the GM-APD via external digital inputs or additional signal processing circuitry. Moreover, this circuit resets the APD automatically following the end of the hold-off period, thus simplifying the control for the end user. Results also show that a minimum dead time of 28.4 ns is achieved, demonstrating a saturated photon-counting rate of 35.2 Mcounts/s.
http://hdl.handle.net/10468/6388
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Activity recognition of local muscular endurance (LME) exercises using an inertial sensor
(2017)
Prabhu, Ghanashyama; Ahmadi, Amin; O'Connor, Noel E.; Moran, Kieran
Activity recognition of local muscular endurance (LME) exercises using an inertial sensor
(2017)
Prabhu, Ghanashyama; Ahmadi, Amin; O'Connor, Noel E.; Moran, Kieran
Abstract:
In this paper, we propose an algorithmic approach for a motion analysis framework to automatically recognize local muscular endurance (LME) exercises and to count their repetitions using a wrist-worn inertial sensor. LME exercises are prescribed for cardiovascular disease rehabilitation. As a technical solution, we propose activity recognition based on machine learning. We developed an algorithm to automatically segment the captured data from all participants. Relevant time and frequency domain features were extracted using a sliding window technique. Principal component analysis (PCA) was applied for dimensionality reduction of the extracted features. We trained 15 binary classifiers using support vector machine (SVM) to recognize individual LME exercises, achieving overall accuracy of more than 98%. We applied grid search technique to obtain the optimal SVM hyperplane parameters. The learning curves (mean ± stdev) for each model is investigated to verify that the models were not o...
http://doras.dcu.ie/22067/
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Adaptive OFDM for Wireless Interconnect in Confined Enclosures
(2013)
Sipal, Vit; Gelabert, Javier; Stevens, Christopher J.; Allen, Ben; Edwards, David
Adaptive OFDM for Wireless Interconnect in Confined Enclosures
(2013)
Sipal, Vit; Gelabert, Javier; Stevens, Christopher J.; Allen, Ben; Edwards, David
Abstract:
This letter considers and recommends OFDM with adaptive subcarrier modulation as a suitable candidate for wireless UWB communication in computer chassis. A rigorous measurement campaign studies the guaranteed spectral efficiency. It concludes that enhancement of the existing WiMedia OFDM systems with a bandwidth of 528 MHz in order to support adaptive OFDM would enable data-rates above 1 Gbps over short ranges, i.e. the spectral efficiency would be doubled. Moreover, the guaranteed spectral efficiency is shown to increase with bandwidth, i.e. the guaranteed data-rate increases better than linearly with bandwidth.
https://arrow.dit.ie/ahfrcart/47
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An advanced virtual dance performance evaluator
(2012)
Gowing, Marc; Kelly, Philip; Monaghan, David; O'Connor, Noel E.
An advanced virtual dance performance evaluator
(2012)
Gowing, Marc; Kelly, Philip; Monaghan, David; O'Connor, Noel E.
Abstract:
The ever increasing availability of high speed Internet access has led to a leap in technologies that support real-time realistic interaction between humans in online virtual environments. In the context of this work, we wish to realise the vision of an online dance studio where a dance class is to be provided by an expert dance teacher and to be delivered to online students via the web. In this paper we study some of the technical issues that need to be addressed in this challenging scenario. In particular, we describe an automatic dance analysis tool that would be used to evaluate a student's performance and provide him/her with meaningful feedback to aid improvement.
http://doras.dcu.ie/16792/
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