Energy Efficient Body Area Networking Based on Off-the-shelf Wireless Sensors. - Sema Dumanli; Sedat Görmüs; Ian Craddock (BODYNETS, 2013)

Off-body Channel Measurements at 2.4 GHz and 868 MHz in an Indoor Environment. - Evangelos Mellios; Angelos A. Goulianos; Sema Dumanli; Geoffrey S. Hilton; Robert J. Piechocki; Ian Craddock (BODYNETS, 2014)

SPHERE: Meaningful and Inclusive Sensor-Based Home Healthcare. - Alison Burrows; Rachel Gooberman-Hill; Ian Craddock; David Coyle (CoRR, 2014)

Sensors for healthcare: Would you want them in your home? - Alison Burrows; Rachel Gooberman-Hill; Ian Craddock; David Coyle (CoRR, 2014)

A comparative home activity monitoring study using visual and inertial sensors. - Lili Tao; Tilo Burghardt; Sion L. Hannuna; Massimo Camplani; Adeline Paiement; Dima Damen; Majid Mirmehdi; Ian Craddock (HealthCom, 2015)

A multi-modal sensor infrastructure for healthcare in a residential environment. - Przemyslaw Woznowski; Xenofon Fafoutis; Terence Song; Sion L. Hannuna; Massimo Camplani; Lili Tao; Adeline Paiement; Evangelos Mellios; Mo Haghighi; Ni Zhu; Geoffrey S. Hilton; Dima Damen; et al. (ICC Workshops, 2015)

Wi-Fi based passive human motion sensing for in-home healthcare applications. - Bo Tan 003; Alison Burrows; Robert J. Piechocki; Ian Craddock; Qingchao Chen; Karl Woodbridge; Kevin Chetty (WF-IoT, 2015)

Mitigating packet loss in connectionless Bluetooth Low Energy. - Evgeny Tsimbalo; Xenofon Fafoutis; Evangelos Mellios; Mo Haghighi; Bo Tan 003; Geoffrey S. Hilton; Robert J. Piechocki; Ian Craddock (WF-IoT, 2015)

Bridging e-Health and the Internet of Things: The SPHERE Project. - Ni Zhu; Tom Diethe; Massimo Camplani; Lili Tao; Alison Burrows; Niall Twomey; Dritan Kaleshi; Majid Mirmehdi; Peter A. Flach; Ian Craddock (IEEE Intell. Syst., 2015)

Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home. - Lili Tao; Tilo Burghardt; Majid Mirmehdi; Dima Damen; Ashley Cooper; Sion L. Hannuna; Massimo Camplani; Adeline Paiement; Ian Craddock (ACCV Workshops (1), 2016)

SPLASH: Smart-Phone Logging App for Sustaining Hydration Enabled by NFC. - Xu Luo; Przemyslaw Woznowski; Alison Burrows; Mo Haghighi; Ian Craddock (CHI Extended Abstracts, 2016)

SPW-1: A Low-Maintenance Wearable Activity Tracker for Residential Monitoring and Healthcare Applications. - Xenofon Fafoutis; Balazs Janko; Evangelos Mellios; Geoffrey S. Hilton; R. Simon Sherratt; Robert J. Piechocki; Ian Craddock (eHealth 360°, 2016)

Opportunistic physical activity monitoring via passive WiFi radar. - Wenda Li 002; Bo Tan 003; Robert J. Piechocki; Ian Craddock (HealthCom, 2016)

A Human Activity Recognition Framework for Healthcare Applications: Ontology, Labelling Strategies, and Best Practice. - Przemyslaw Woznowski; Rachel King; William S. Harwin; Ian Craddock (IoTBD, 2016)

Microsecond-Accuracy Time Synchronization Using the IEEE 802.15.4 TSCH Protocol. - Atis Elsts; Simon Duquennoy; Xenofon Fafoutis; George C. Oikonomou; Robert J. Piechocki; Ian Craddock (LCN Workshops, 2016)

Energy Neutral Activity Monitoring: Wearables Powered by Smart Inductive Charging Surfaces. - Xenofon Fafoutis; Lindsay Clare; Neil J. Grabham; Steve P. Beeby; Bernard H. Stark; Robert J. Piechocki; Ian Craddock (SECON, 2016)

Classification and suitability of sensing technologies for activity recognition. - Przemyslaw Woznowski; Dritan Kaleshi; George C. Oikonomou; Ian Craddock (Comput. Commun., 2016)

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. - Niall Twomey; Tom Diethe; Meelis Kull; Hao Song 007; Massimo Camplani; Sion L. Hannuna; Xenofon Fafoutis; Ni Zhu; Pete Woznowski; Peter A. Flach; Ian Craddock (CoRR, 2016)

A comparative study of pose representation and dynamics modelling for online motion quality assessment. - Lili Tao; Adeline Paiement; Dima Damen; Majid Mirmehdi; Sion L. Hannuna; Massimo Camplani; Tilo Burghardt; Ian Craddock (Comput. Vis. Image Underst., 2016)

A residential maintenance-free long-term activity monitoring system for healthcare applications. - Xenofon Fafoutis; Evgeny Tsimbalo; Evangelos Mellios; Geoffrey S. Hilton; Robert J. Piechocki; Ian Craddock (EURASIP J. Wirel. Commun. Netw., 2016)

Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. - Atis Elsts; Xenofon Fafoutis; James Pope; George C. Oikonomou; Robert J. Piechocki; Ian Craddock (DCOSS, 2017)

Adaptive channel selection in IEEE 802.15.4 TSCH networks. - Atis Elsts; Xenofon Fafoutis; Robert J. Piechocki; Ian Craddock (GIoTS, 2017)

Energy efficient heart rate sensing using a painted electrode ECG wearable. - Sammy Krachunov; Christopher Beach; Alexander J. Casson; James Pope; Xenofon Fafoutis; Robert J. Piechocki; Ian Craddock (GIoTS, 2017)

The SPHERE Experience. - Ian Craddock (iWOAR, 2017)

SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. - James Pope; Ryan McConville; Michal Kozlowski; Xenofon Fafoutis; Raúl Santos-Rodríguez; Robert J. Piechocki; Ian Craddock (LCN Workshops, 2017)

Evaluating the use of voice-enabled technologies for ground-truthing activity data. - Przemyslaw Woznowski; Alison Burrows; Pawel Laskowski; Emma Tonkin; Ian Craddock (PerCom Workshops, 2017)

What's cooking and why? Behaviour recognition during unscripted cooking tasks for health monitoring. - Kristina Y. Yordanova; Samuel Whitehouse; Adeline Paiement; Majid Mirmehdi; Thomas Kirste; Ian Craddock (PerCom Workshops, 2017)

Probabilistic Sensor Fusion for Ambient Assisted Living. - Tom Diethe; Niall Twomey; Meelis Kull; Peter A. Flach; Ian Craddock (CoRR, 2017)

Unsupervised learning of sensor topologies for improving activity recognition in smart environments. - Niall Twomey; Tom Diethe; Ian Craddock; Peter A. Flach (Neurocomputing, 2017)

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment. - Xenofon Fafoutis; Antonis Vafeas; Balazs Janko; R. Simon Sherratt; James Pope; Atis Elsts; Evangelos Mellios; Geoffrey S. Hilton; George Oikonomou; Robert J. Piechocki; Ian Craddock (EAI Endorsed Trans. Pervasive Health Technol., 2017)

On-Board Feature Extraction from Acceleration Data for Activity Recognition. - Atis Elsts; Ryan McConville; Xenofon Fafoutis; Niall Twomey; Robert J. Piechocki; Raúl Santos-Rodriguez; Ian Craddock (EWSN, 2018)

Energy-Efficient, Noninvasive Water Flow Sensor. - Antonis Vafeas; Atis Elsts; James Pope; Xenofon Fafoutis; George Oikonomou; Robert J. Piechocki; Ian Craddock (SMARTCOMP, 2018)

An accelerometer lossless compression algorithm and energy analysis for IoT devices. - James Pope; Antonis Vafeas; Atis Elsts; George Oikonomou; Robert J. Piechocki; Ian Craddock (WCNC Workshops, 2018)

Adaptive static scheduling in IEEE 802.15.4 TSCH networks. - Xenofon Fafoutis; Atis Elsts; George C. Oikonomou; Robert J. Piechocki; Ian Craddock (WF-IoT, 2018)

Extending the battery lifetime of wearable sensors with embedded machine learning. - Xenofon Fafoutis; Letizia Marchegiani; Atis Elsts; James Pope; Robert J. Piechocki; Ian Craddock (WF-IoT, 2018)

Understanding the quality of calibrations for indoor localisation. - Ryan McConville; Dallan Byrne; Ian Craddock; Robert J. Piechocki; James Pope; Raúl Santos-Rodríguez (WF-IoT, 2018)

An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure. - Christopher Beach; Sammy Krachunov; James Pope; Xenofon Fafoutis; Robert J. Piechocki; Ian Craddock; Alexander J. Casson (IEEE Access, 2018)

Experiences and Lessons Learned From Making IoT Sensing Platforms for Large-Scale Deployments. - Xenofon Fafoutis; Atis Elsts; Robert J. Piechocki; Ian Craddock (IEEE Access, 2018)

Enabling Healthcare in Smart Homes: The SPHERE IoT Network Infrastructure. - Atis Elsts; Xenofon Fafoutis; Przemyslaw Woznowski; Emma Tonkin; George Oikonomou; Robert J. Piechocki; Ian Craddock (IEEE Commun. Mag., 2018)

A Guide to the SPHERE 100 Homes Study Dataset. - Atis Elsts; Tilo Burghardt; Dallan Byrne; Dima Damen; Xenofon Fafoutis; Sion L. Hannuna; Víctor Ponce-López; Alessandro Masullo; Majid Mirmehdi; George Oikonomou; Robert J. Piechocki; Emma Tonkin; et al. (CoRR, 2018)

Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. - Ryan McConville; Gareth Archer; Ian Craddock; Herman J. ter Horst; Robert J. Piechocki; James Pope; Raúl Santos-Rodriguez (CoRR, 2018)

Energy expenditure estimation using visual and inertial sensors. - Lili Tao; Tilo Burghardt; Majid Mirmehdi; Dima Damen; Ashley Cooper; Massimo Camplani; Sion L. Hannuna; Adeline Paiement; Ian Craddock (IET Comput. Vis., 2018)

A Comprehensive Study of Activity Recognition Using Accelerometers. - Niall Twomey; Tom Diethe; Xenofon Fafoutis; Atis Elsts; Ryan McConville; Peter A. Flach; Ian Craddock (Informatics, 2018)

Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective. - Emma Tonkin; Alison Burrows; Przemyslaw Woznowski; Pawel Laskowski; Kristina Y. Yordanova; Niall Twomey; Ian Craddock (Sensors, 2018)

Temperature-Resilient Time Synchronization for the Internet of Things. - Atis Elsts; Xenofon Fafoutis; Simon Duquennoy; George Oikonomou; Robert J. Piechocki; Ian Craddock (IEEE Trans. Ind. Informatics, 2018)

Towards estimation of cooking complexity: free-text annotations in the kitchen environment. - Emma L. Tonkin; Ola Bykowska; Hannah Berg; Ian Craddock (iWOAR, 2019)

Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring. - Kristina Y. Yordanova; Stefan Lüdtke; Samuel Whitehouse; Frank Krüger 001; Adeline Paiement; Majid Mirmehdi; Ian Craddock; Thomas Kirste (Sensors, 2019)

Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. - Rafael Poyiadzi; Weisong Yang; Yoav Ben-Shlomo; Ian Craddock; Liz Coulthard; Raúl Santos-Rodríguez; James Selwood; Niall Twomey (AAI4H@ECAI, 2020)

Wearable Devices for Digital Health: The SPHERE Wearable 3. - Antonis Vafeas; Md Israfil Biswas; Xenofon Fafoutis; Atis Elsts; Ian Craddock; Robert J. Piechocki; George Oikonomou (EWSN, 2020)

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. - Ryan McConville; Raúl Santos-Rodríguez; Robert J. Piechocki; Ian Craddock (ICPR, 2020)

Energy-efficient activity recognition framework using wearable accelerometers. - Atis Elsts; Niall Twomey; Ryan McConville; Ian Craddock (J. Netw. Comput. Appl., 2020)

From Bits of Data to Bits of Knowledge - An On-Board Classification Framework for Wearable Sensing Systems. - Pawel Zalewski; Letizia Marchegiani; Atis Elsts; Robert J. Piechocki; Ian Craddock; Xenofon Fafoutis (Sensors, 2020)

TSCH Networks for Health IoT: Design, Evaluation, and Trials in the Wild. - Atis Elsts; Xenofon Fafoutis; George Oikonomou; Robert J. Piechocki; Ian Craddock (ACM Trans. Internet Things, 2020)

Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. - Catherine Morgan; Farnoosh Heidarivincheh; Ian Craddock; Ryan McConville; Miquel Perelló-Nieto; Emma L. Tonkin; Alessandro Masullo; Antonis Vafeas; Mickey Kim; Roisin McNaney; Gregory J. L. Tourte; Alan L. Whone (PerCom Workshops, 2021)

Vesta: A digital health analytics platform for a smart home in a box. - Ryan McConville; Gareth Archer; Ian Craddock; Michal Kozlowski; Robert J. Piechocki; James Pope; Raúl Santos-Rodríguez (Future Gener. Comput. Syst., 2021)

Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. - Aftab Khan 001; Sebastian Mellor; Rachel King; Balazs Janko; William S. Harwin; R. Simon Sherratt; Ian Craddock; Thomas Plötz (ACM Trans. Comput. Heal., 2021)

Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities. - Farnoosh Heidarivincheh; Ryan McConville; Catherine Morgan; Roisin McNaney; Alessandro Masullo; Majid Mirmehdi; Alan L. Whone; Ian Craddock (Sensors, 2021)

An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease. - Luis R. Peraza; Kirsi M. Kinnunen; Roisin McNaney; Ian Craddock; Alan L. Whone; Catherine Morgan; Richard Joules; Robin Wolz (Sensors, 2021)

Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations. - Weisong Yang; Rafael Poyiadzi; Yoav Ben-Shlomo; Ian Craddock; Liz Coulthard; Raúl Santos-Rodríguez; James Selwood; Niall Twomey (Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022)

Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. - Roisin McNaney; Catherine Morgan; Pranav Kulkarni; Julio Vega; Farnoosh Heidarivincheh; Ryan McConville; Alan L. Whone; Mickey Kim; Reuben Kirkham; Ian Craddock (CHI, 2022)

Radio signal strength indication augmentation for one-shot learning in indoor localisation. - Thanaphon Suwannaphong; Ryan McConville; Ian Craddock (SmartWear@MobiCom, 2022)

Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers. - Ferdian Jovan; Ryan McConville; Catherine Morgan; Emma Tonkin; Alan L. Whone; Ian Craddock (CoRR, 2022)

Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things. - Alessandro Masullo; Toby Perrett; Tilo Burghardt; Ian Craddock; Dima Damen; Majid Mirmehdi (CoRR, 2022)

A Case Study Investigating a User-Centred and Expert Informed 'Companion Guide' for a Complex Sensor-based Platform. - Rachel Eardley; Sue Mackinnon; Emma L. Tonkin; Ewan Soubutts; Amid Ayobi; Jess Linington; Gregory J. L. Tourte; Zoe Banks Gross; David J. Bailey; Russell Knights; Rachael Gooberman-Hill; Ian Craddock; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds. - Amid Ayobi; Rachel Eardley; Ewan Soubutts; Rachael Gooberman-Hill; Ian Craddock; Aisling Ann O'Kane (Proc. ACM Hum. Comput. Interact., 2022)

Real World Parkinson's Disease Tremor and Score Prediction using Wearable IMU Sensors. - James Pope; Catherine Morgan; Alessandro Masullo; Ian Craddock; Alan L. Whone (HealthCom, 2023)

Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. - Ferdian Jovan; Catherine Morgan; Ryan McConville; Emma L. Tonkin; Ian Craddock; Alan L. Whone (KDD, 2023)

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. - Taku Yamagata; Emma L. Tonkin; Benjamin Arana Sanchez; Ian Craddock; Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Weisong Yang; Peter A. Flach (PerCom Workshops, 2023)

Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms. - Rachel Eardley; Emma L. Tonkin; Ewan Soubutts; Amid Ayobi; Gregory J. L. Tourte; Rachael Gooberman-Hill; Ian Craddock; Aisling Ann O'Kane (Proc. ACM Hum. Comput. Interact., 2023)

An active semi-supervised deep learning model for human activity recognition. - Haixia Bi; Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Peter A. Flach; Ian Craddock (J. Ambient Intell. Humaniz. Comput., 2023)

Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on Edge Devices. - Thanaphon Suwannaphong; Ferdian Jovan; Ian Craddock; Ryan McConville (CoRR, 2024)

Transfer Learning of RSSI to Improve Indoor Localisation Performance. - Thanaphon Suwannaphong; Ryan McConville; Ian Craddock (CoRR, 2024)

Understanding the Multimodal Voice Assistant as an Informal and Social Care Support Tool in the UK. - Elaine Czech; Ewan Soubutts; Ian Craddock; Aisling Ann O'Kane (CUI, 2025)