Matias Garcia-Constantino

Matias Garcia-Constantino
Ulster University · School of Computing and Mathematics

PhD

About

47
Publications
5,904
Reads
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176
Citations
Introduction
Data Scientist working as Lecturer in Computer Science at Ulster University Jordanstown campus. Member of the Pervasive Computing Research Group and currently working in the Connected Health Innovation Centre (CHIC) project. Interested in Data Analysis applied to different areas. In particular I am interested in researching the area of Connected Health to use technology and IoT to improve people’s quality of life and health. I am also interested in the use of Legal Technology.
Additional affiliations
October 2020 - present
Ulster University
Position
  • Lecturer
Description
  • Teaching and researching in the area of Connected Health at the Pervasive Computing Research Group as part of the Northern Ireland Connected Health Innovation Centre (NI-CHIC). NI-CHIC promotes business led collaborative Connected Health research between academia, industry and government.
March 2017 - September 2020
Ulster University
Position
  • Research Associate
Description
  • Research at the Smart Environments Research Group (SERG) as part of the Northern Ireland Connected Health Innovation Centre (NI-CHIC). NI-CHIC promotes business led collaborative Connected Health research between academia, industry and government. I was involved in the following projects: Worktivity, iMPAKT, a project to address Social Isolation in the elderly using sensors, and a project to use thermal images and data analysis for an early detection of Diabetic Foot Disease.
March 2015 - February 2017
University of Liverpool
Position
  • KTP Associate
Description
  • Research on the use of Artificial Intelligence techniques to develop a software product to automate existing manual processes involving the identification, extraction and manipulation of data from certain types of legal documents. Data captured was then used by intelligent automatic visualisation and reasoning mechanisms. The research was part of a Knowledge Transfer Partnership (KTP) between the University of Liverpool and Riverview Law.
Education
October 2009 - September 2013
University of Liverpool
Field of study
  • Computer Science
May 2007 - October 2007
Universidad Nacional Autónoma de México
Field of study
  • Information Technologies
December 2001 - January 2007
Universidad Nacional Autónoma de México
Field of study
  • Computer Engineering

Publications

Publications (47)
Article
Full-text available
Dangerous driving can cause accidents, injuries and loss of life. An efficient assessment helps to identify the absence or degree of dangerous driving to take the appropriate decisions while driving. Previous studies assess dangerous driving through two approaches: (i) using electronic devices or sensors that provide objective variables (accelerati...
Article
Full-text available
The classifier selection problem in Assistive Technology Adoption refers to selecting the classification algorithms that have the best performance in predicting the adoption of technology, and is often addressed through measuring different single performance indicators. Satisfactory classifier selection can help in reducing time and costs involved...
Article
Full-text available
There is a global challenge related to the increasing number of People with Dementia (PwD) and the diminishing capacity of governments, health systems, and caregivers to provide the best care for them. Cost-effective technology solutions that enable and ensure a good quality of life for PwD via monitoring and interventions have been investigated co...
Article
Full-text available
Citation: Ekerete, I.; Garcia-Constantino, M.; Diaz-Skeete, Y.; Nugent, C.; McLaughlin, J. Abstract: The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high acc...
Article
Full-text available
The scale of Internet of Things (IoT) systems has expanded in recent times and, in tandem with this, IoT solutions have developed symbiotic relationships with technologies, such as edge Computing. IoT has leveraged edge computing capabilities to improve the capabilities of IoT solutions, such as facilitating quick data retrieval, low latency respon...
Article
Full-text available
This paper proposes the fusion of Unobtrusive Sensing Solutions (USSs) for human Activity Recognition and Classification (ARC) in home environments. It also considers the use of data mining models and methods for cluster-based analysis of datasets obtained from the USSs. The ability to recognise and classify activities performed in home environment...
Preprint
Full-text available
The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists to ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life, user...
Article
Full-text available
Activities of daily living (ADL) systems have been playing an important role in assessing and monitoring the quality of life of elderly people for many years. With the recent advancement and integration of Internet of Things (IoT) devices within ADL systems, the number and quality of services offered has increased significantly. One of these vital...
Article
Full-text available
Background Office work generally consists of high amounts of sedentary behaviour (SB) which has been associated with negative health consequences. We developed the “WorktivIty” mobile app to help office workers reduce their SB through self-monitoring and feedback on sedentary time, prompts to break sedentary time, and educational facts. The aim of...
Article
Full-text available
In fuzzy systems, membership functions determine the groups to which a variable can belong to, and these groups are static or only have one setting in some aspect. However, fuzzy systems typically require to model the dynamic environment they represent. Still, this behavior does not reflect the membership groups in a conventional way. Thus, convent...
Article
Full-text available
Artificial Neural Networks (ANNs) were created inspired by the neural networks in the human brain and have been widely applied in speech processing. The application areas of ANN include: Speech recognition, speech emotion recognition, language identification, speech enhancement, and speech separation, amongst others. Likewise, given that speech pro...
Article
Full-text available
Knee Osteoarthritis (OA) is one of the most prominent diseases in an ageing society and has affected over 10 million people in Thailand. When people suffer from OA, it is very difficult to recover. Therefore, early detection and prevention are important. The typical way to detect OA is by using X-ray imaging. This research study is focused on early...
Article
Full-text available
Activity recognition is one of the most active areas of research in ubiquitous computing. In particular, gait activity recognition is useful to identify various risk factors in people’s health that are directly related to their physical activity. One of the issues in activity recognition, and gait in particular, is that often datasets are unbalance...
Chapter
Recently, the number of People with Dementia (PwD) has been rising exponentially across the world. The main symptoms that PwD experience include impairments of reasoning, memory, and thought. Owing to the burden faced by this chronic condition, Assistive Technology-based solutions (ATS) have been prescribed as a form of treatment. Nevertheless, it...
Conference Paper
Full-text available
This paper proposes the fusion of data from unobtrusive sensing solutions for the recognition and classification of activities in home environments. The ability to recognize and classify activities can help in the objective monitoring of health and wellness trends in ageing adults. While the use of video and stereo cameras for monitoring activities...
Article
Full-text available
Introduction: As high amounts of occupational sitting have been associated with negative health consequences, designing workplace interventions to reduce sedentary behaviour (SB) is of public health interest. Digital technology may serve as a cost-effective and scalable platform to deliver such an intervention. This study describes the iterative d...
Article
Objective: The aim of the study was to evaluate a technological solution in the form of an App to implement and measure person-centredness in nursing. The focus was to enhance the knowledge transfer of a set of person-centred key performance indicators and the corresponding measurement framework used to inform improvements in the experience of car...
Preprint
BACKGROUND There is a global challenge related to the increase in the number of people with dementia (PwD) and the diminishing capacity of governments, health systems, and caregivers to provide the best care for them. Cost-effective technology solutions that enable and ensure a good quality of life for PwD via monitoring patients and interventions...
Conference Paper
Full-text available
This paper presents a probabilistic approach for the identification of abnormal behaviour in Activities of Daily Living (ADLs) from sensor data collected from 30 participants. The ADLs considered are: (i) preparing and drinking tea, and (ii) preparing and drinking coffee. Abnormal behaviour identified in the context of these activities can be an in...
Article
Full-text available
Activity recognition is an important task in many fields, such as ambient intelligence, pervasive healthcare, and surveillance. In particular, the recognition of human gait can be useful to identify the characteristics of the places or physical spaces, such as whether the person is walking on level ground or walking down stairs in which people move...
Article
Full-text available
INTRODUCTION: Dementia is a syndrome characterised by a decline in memory, language, and problem-solving thataffects the ability of patients to perform everyday activities. Patients with dementia tend to experience episodes of anxietyand remain for extended periods, which affects their quality of life.OBJECTIVES: To design AnxiDetector, a system ca...
Article
Full-text available
Activity recognition, a key component in pervasive healthcare monitoring, relies on classification algorithms that require labeled data of individuals performing the activity of interest to train accurate models. Labeling data can be performed in a lab setting where an individual enacts the activity under controlled conditions. The ubiquity of mobi...
Conference Paper
Foot ulcers are a common complication of diabetes and are the leading cause of amputation amongst those with diabetes. Research has shown that, an increase of two degrees Celsius in the skin temperature on the plantar surface of the foot can be an early indication of injury or inflammation. Early detection and treatment of a hotspot region may redu...
Conference Paper
Full-text available
This paper presents a probabilistic approach for the identification of abnormal behaviour in Activities of Daily Living (ADLs) from dense sensor data collected from 30 participants. The ADLs considered are related to preparing and drinking (i) tea, and (ii) coffee. Abnormal behaviour identified in the context of these activities can be an indicator...
Conference Paper
Full-text available
This paper proposes a non-obtrusive system that measures upper extremity velocity during post-stroke rehabilitation exercises within a home environment using a Distance2Go Doppler radar sensing solution. Experimental results are compared with that of an accelerometer in instances of flexion, extension, abduction and adduction. The results demonstra...
Conference Paper
In this paper we introduce the Worktivity mobile app as a potential solution to help reduce occupational sitting in an office environment. Worktivity functions by sending hourly reminders to stand up or move in addition to showing factual information related to the benefits of being active within the office environment. The Worktivity app was used...
Conference Paper
Purpose: Occupational sedentary behaviour (SB) is a public health concern associated with negative physical and psychological health consequences (1, 2). Reducing SB in office workers can be challenging due to the need to complete desk-bound work. There is evidence to suggest sit-stand workstations can reduce SB without negative effects on producti...
Conference Paper
Full-text available
The effectiveness of document Information Extraction (IE) is greatly affected by the structure and layout of the documents being considered. In the case of legal documents relating to commercial law, an additional challenge is the many different and varied formats, structures and layouts used. In this paper, we present work on a flexible and scalab...
Article
Full-text available
Using current sensing technology, a wealth of data on driving sessions is potentially available through a combination of vehicle sensors and drivers' physiology sensors (heart rate, breathing rate, skin temperature, etc.). Our hypothesis is that it should be possible to exploit the combination of time series produced by such multiple sensors during...
Conference Paper
An investigation into the extraction of useful information from the free text element of questionnaires, using a semi-automated summarisation extraction technique to generate text summarisation classifiers, is described. A realisation of the proposed technique, SARSET (Semi-Automated Rule Summarisation Extraction Tool), is presented and evaluated u...
Article
Full-text available
This paper presents an investigation into the summarisation of the free text element of questionnaire data using hierarchical text classifi-cation. The process makes the assumption that text summarisation can be achieved using a classification approach whereby several class labels can be associated with documents which then constitute the summarisa...
Conference Paper
Full-text available
An investigation into the potential effectiveness of generating text classifiers from secondary data for the purpose of text summarisation is described. The application scenario assumes a questionnaire corpus where we wish to provide a summary regarding the nature of the free text element of such questionnaires, but no suitable training data is ava...
Conference Paper
An investigation into the use of negation in Inductive Rule Learning (IRL) for text classification is described. The use of negated features in the IRL process has been shown to improve effectiveness of classification. However, although in the case of small datasets it is perfectly feasible to include the potential negation of all possible features...

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Projects

Project (1)
Project
1. To improve the rehabilitation experience of home-based post-stroke users through the use of unobtrusive sensing platforms. 2. To embed intelligence in self-reporting solutions to improve levels of technology adoption.