Ian Cleland

Orcid: 0000-0003-2368-7354

Affiliations:
  • University of Ulster at Jordanstown, UK


According to our database1, Ian Cleland authored at least 99 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Human digital twin: a survey.
J. Cloud Comput., December, 2024

Is identifying boredom the answer to controlling the bombardment of notifications on mobile devices?
CCF Trans. Pervasive Comput. Interact., June, 2024

Data Augmentation for Human Activity Recognition With Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, April, 2024

Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning.
IEEE Access, 2024

Improving the accuracy of Anomaly Detection in Multimodal Sensors using 1D-CNN.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

Acceptability of a Mobile App (iMPAKT) for Measurement and Implementation of Person-Centredness: Mixed-Methods Study.
Proceedings of the Innovation in Applied Nursing Informatics, 2024

Leveraging Large Language Models for Activity Recognition in Smart Environments.
Proceedings of the International Conference on Activity and Behavior Computing, 2024

2023
Deep learning for network intrusion: A hierarchical approach to reduce false alarms.
Intell. Syst. Appl., May, 2023

Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking.
Knowl. Based Syst., March, 2023

Using Generative AI to Assist with Technology Adoption Assessment.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

Face Recognition and Actuation to Promote Smart Home Security.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

Using Synthetic Data to Improve the Accuracy of Human Activity Recognition.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

Predicting User Adoption and Attrition of Digital Health.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

2022
Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients.
Sensors, 2022

Modelling mobile-based technology adoption among people with dementia.
Pers. Ubiquitous Comput., 2022

Human Digital Twin: A Survey.
CoRR, 2022

Opportunistic Sensing of Behavioural Data to Prioritise Smartphone Notifications in the Wild.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Fine-Tuning AlexNet for Bed Occupancy Detection in Low-Resolution Thermal Sensor Images.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

A Reusable Software Platform for Delivery of Digital Interventions.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

A Software Tool and a Metamodel for Digital Twins of Inhabited Smart Environments.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Association Between Objectively Measured Shoulder Kinematics and Fear Avoidance Beliefs in Women with Latissimus Dorsi Flap Breast Reconstruction.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

2021
Development of an Internet of Things solution to monitor and analyse indoor air quality.
Internet Things, 2021

A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement in Children With Cerebral Palsy.
Frontiers Digit. Health, 2021

Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes.
Frontiers Digit. Health, 2021

Detecting Bed Occupancy Using Thermal Sensing Technology: A Feasibility Study.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2021

Determination of the Most Relevant Features to Improve the Performance of RF Classifier in Human Activity Recognition.
Proceedings of the Computer Information Systems and Industrial Management, 2021

2020
SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition.
Sensors, 2020

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders.
Sensors, 2020

Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition.
Sensors, 2020

Simulated Data to Estimate Real Sensor Events - A Poisson-Regression-Based Modelling.
Remote. Sens., 2020

uMoDT: an unobtrusive multi-occupant detection and tracking using robust Kalman filter for real-time activity recognition.
Multim. Syst., 2020

Fuzzy cloud-fog computing approach application for human activity recognition in smart homes.
J. Intell. Fuzzy Syst., 2020

IoT reliability: a review leading to 5 key research directions.
CCF Trans. Pervasive Comput. Interact., 2020

Feature learning for Human Activity Recognition using Convolutional Neural Networks.
CCF Trans. Pervasive Comput. Interact., 2020

Personalizing Activity Recognition With a Clustering Based Semi-Population Approach.
IEEE Access, 2020

A Markov Model to Detect Sensor Failure in IoT Environments.
Proceedings of the 2020 IEEE World Congress on Services, 2020

Choosing the Most Suitable Classifier for Supporting Assistive Technology Adoption in People with Parkinson's Disease: A Fuzzy Multi-criteria Approach.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work, 2020

2019
Semi-Automated Data Labeling for Activity Recognition in Pervasive Healthcare.
Sensors, 2019

Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia.
EAI Endorsed Trans. Pervasive Health Technol., 2019

Design and assessment of the data analysis process for a wrist-worn smart object to detect atomic activities in the smart home.
Pervasive Mob. Comput., 2019

Evaluation of an IoT Framework for a Workplace Wellbeing Application.
Proceedings of the 2019 IEEE SmartWorld, 2019

Impact Analysis of Erroneous Data on IoT Reliability.
Proceedings of the 2019 IEEE SmartWorld, 2019

Comparing CNN and Human Crafted Features for Human Activity Recognition.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions.
Proceedings of the 2019 IEEE SmartWorld, 2019

Intelligent System for the Prevention of Pressure Ulcers by Monitoring Postural Changes with Wearable Inertial Sensors.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Connected Health Living Lab.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Study Design of an Environmental Smart Microphone System to Detect Anxiety in Patients with Dementia.
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019

Preliminary evaluation of a self-management health app by people with cognitive impairment.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Semi-Automated Annotation of Audible Home Activities.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Thermal Imaging Solution for Early Detection of Pre-ulcerative Diabetic Hotspots.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone.
Sensors, 2018

A Scalable, Research Oriented, Generic, Sensor Data Platform.
IEEE Access, 2018

H<sup>2</sup>Al - The Human Health and Activity Laboratory.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Safe Beacon: A Bluetooth Based Solution to Monitor Egress of Dementia Sufferers within a Residential Setting.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Human Activity Recognition from the Acceleration Data of a Wearable Device. Which Features Are More Relevant by Activities?
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Personalized Online Training for Physical Activity monitoring using weak labels.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Collection of a Diverse, Realistic and Annotated Dataset for Wearable Activity Recognition.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2017
Sensor-Based Change Detection for Timely Solicitation of User Engagement.
IEEE Trans. Mob. Comput., 2017

SensorCentral: A Research Oriented, Device Agnostic, Sensor Data Platform.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

A Secure, Out-of-Band, Mechanism to Manage Internet of Things Devices.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

A Smart Cabinet and Voice Assistant to Support Independence in Older Adults.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

A Holistic Technology-Based Solution for Prevention and Management of Diabetic Foot Complications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Evaluation of Fall and Seizure Detection with Smartphone and Smartwatch Devices.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Rich context information for just-in-time adaptive intervention promoting physical activity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace.
Mob. Inf. Syst., 2016

Dynamic detection of window starting positions and its implementation within an activity recognition framework.
J. Biomed. Informatics, 2016

Modelling assistive technology adoption for people with dementia.
J. Biomed. Informatics, 2016

Improving the Quality of User Generated Data Sets for Activity Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

The Use of Gamification Techniques in a Clinical Setting for the Collection of Longitudinal Kinematic Data.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Impact of Medical History on Technology Adoption in Utah Population Database.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Environment Simulation for the Promotion of the Open Data Initiative.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

An initiative for the creation of open datasets within pervasive healthcare.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

The ground truth is out there: challenges with using pervasive technologies for behavior change.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Assessing app quality through expert peer review: A case study from the gray matters study.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Doorstep: A doorbell security system for the prevention of doorstep crime.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Technology adoption and prediction tools for everyday technologies aimed at people with dementia.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Home-Based Self-Management of Dementia: Closing the Loop.
Proceedings of the Inclusive Smart Cities and e-Health, 2015

Facilitating Delivery and Remote Monitoring of Behaviour Change Interventions to Reduce Risk of Developing Alzheimer's Disease: The Gray Matters Study.
Proceedings of the Inclusive Smart Cities and e-Health, 2015

2014
A Predictive Model for Assistive Technology Adoption for People With Dementia.
IEEE J. Biomed. Health Informatics, 2014

Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone.
Sensors, 2014

Development of a Technology Adoption and Usage Prediction Tool for Assistive Technology for People with Dementia.
Interact. Comput., 2014

Online Change Detection for Timely Solicitation of User Interaction.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services, 2014

Encouraging Behavioral Change via Everyday Technologies to Reduce Risk of Developing Alzheimer's Disease.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Identification of Ideal Contexts to Issue Reminders for Persons with Dementia.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Doorstep Security; Using a Technology Based Solution for the Prevention of Doorstep Crime.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

A Collaborative Patient-Carer Interface for Generating Home Based Rules for Self-Management.
Proceedings of the Smart Homes and Health Telematics - 12th International Conference, 2014

A knowledge-driven approach to predicting technology adoption among Persons with Dementia.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A smartphone application to evaluate technology adoption and usage in persons with dementia.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Towards a generic platform for the self-management of chronic conditions.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Optimal Placement of Accelerometers for the Detection of Everyday Activities.
Sensors, 2013

Mobile Based Prompted Labeling of Large Scale Activity Data.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

Prediction of Assistive Technology Adoption for People with Dementia.
Proceedings of the Health Information Science - Second International Conference, 2013

2012
Assessment of Custom Fitted Heart Rate Sensing Garments whilst undertaking Everyday Activities.
Proceedings of the Impact Analysis of Solutions for Chronic Disease Prevention and Management, 2012

A Smart Garment for Older Walkers.
Proceedings of the Impact Analysis of Solutions for Chronic Disease Prevention and Management, 2012

Evaluation of a technology enabled garment for older walkers.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Effects of BMI and abdominal volume on the accuracy of step count obtained from a tri-axial accelerometer.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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