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Ian Craddock
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2020 – today
- 2023
- [j25]Haixia Bi
, Miquel Perelló-Nieto, Raúl Santos-Rodríguez
An active semi-supervised deep learning model for human activity recognition. J. Ambient Intell. Humaniz. Comput. 14(10): 13049-13065 (2023) - [j24]Rachel Eardley
Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-25 (2023) - [c36]James Pope
Real World Parkinson's Disease Tremor and Score Prediction using Wearable IMU Sensors. HealthCom 2023: 1-6 - [c35]Ferdian Jovan
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. KDD 2023: 4273-4283 - [c34]Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach:
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. PerCom Workshops 2023: 527-533 - [i13]Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach:
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. CoRR abs/2302.02706 (2023) - [i12]Ferdian Jovan
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. CoRR abs/2308.02419 (2023) - 2022
- [j23]Rachel Eardley
A Case Study Investigating a User-Centred and Expert Informed 'Companion Guide' for a Complex Sensor-based Platform. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 93:1-93:23 (2022) - [j22]Amid Ayobi
Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [c33]Roisin McNaney
Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. CHI 2022: 280:1-280:14 - [c32]Thanaphon Suwannaphong, Ryan McConville
Radio signal strength indication augmentation for one-shot learning in indoor localisation. SmartWear@MobiCom 2022: 7-12 - [p1]Weisong Yang, Rafael Poyiadzi, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez
Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations. Integrating Artificial Intelligence and IoT for Advanced Health Informatics 2022: 25-52 - [i11]Ferdian Jovan
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers. CoRR abs/2205.06142 (2022) - [i10]Alessandro Masullo, Toby Perrett, Tilo Burghardt, Ian Craddock, Dima Damen, Majid Mirmehdi:
Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things. CoRR abs/2207.06789 (2022) - 2021
- [j21]Ryan McConville
Vesta: A digital health analytics platform for a smart home in a box. Future Gener. Comput. Syst. 114: 106-119 (2021) - [j20]Aftab Khan
Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. ACM Trans. Comput. Heal. 2(1): 2:1-2:21 (2021) - [j19]Farnoosh Heidarivincheh
Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities. Sensors 21(12): 4133 (2021) - [j18]Luis R. Peraza
An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease. Sensors 21(24): 8286 (2021) - [c31]Catherine Morgan, Farnoosh Heidarivincheh
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. PerCom Workshops 2021: 471-474 - 2020
- [j17]Atis Elsts
Energy-efficient activity recognition framework using wearable accelerometers. J. Netw. Comput. Appl. 168: 102770 (2020) - [j16]Pawel Zalewski, Letizia Marchegiani
From Bits of Data to Bits of Knowledge - An On-Board Classification Framework for Wearable Sensing Systems. Sensors 20(6): 1655 (2020) - [j15]Atis Elsts
TSCH Networks for Health IoT: Design, Evaluation, and Trials in the Wild. ACM Trans. Internet Things 1(2): 9:1-9:27 (2020) - [c30]Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey:
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. AAI4H@ECAI 2020: 23-27 - [c29]Antonis Vafeas, Md Israfil Biswas, Xenofon Fafoutis, Atis Elsts, Ian Craddock, Robert J. Piechocki, George Oikonomou:
Wearable Devices for Digital Health: The SPHERE Wearable 3. EWSN 2020: 236-241 - [c28]Ryan McConville
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. ICPR 2020: 5145-5152 - [i9]Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey:
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. CoRR abs/2007.03615 (2020)
2010 – 2019
- 2019
- [j14]Kristina Y. Yordanova
Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring. Sensors 19(3): 646 (2019) - [c27]Emma L. Tonkin, Ola Bykowska, Hannah Berg, Ian Craddock:
Towards estimation of cooking complexity: free-text annotations in the kitchen environment. iWOAR 2019: 6:1-6:7 - [i8]Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock:
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. CoRR abs/1908.05968 (2019) - 2018
- [j13]Xenofon Fafoutis
Experiences and Lessons Learned From Making IoT Sensing Platforms for Large-Scale Deployments. IEEE Access 6: 3140-3148 (2018) - [j12]Christopher Beach
An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure. IEEE Access 6: 44010-44021 (2018) - [j11]Atis Elsts
Enabling Healthcare in Smart Homes: The SPHERE IoT Network Infrastructure. IEEE Commun. Mag. 56(12): 164-170 (2018) - [j10]Lili Tao, Tilo Burghardt, Majid Mirmehdi
Energy expenditure estimation using visual and inertial sensors. IET Comput. Vis. 12(1): 36-47 (2018) - [j9]Niall Twomey
A Comprehensive Study of Activity Recognition Using Accelerometers. Informatics 5(2): 27 (2018) - [j8]Emma Tonkin
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective. Sensors 18(7): 2365 (2018) - [j7]Atis Elsts
Temperature-Resilient Time Synchronization for the Internet of Things. IEEE Trans. Ind. Informatics 14(5): 2241-2250 (2018) - [c26]Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert J. Piechocki, Raúl Santos-Rodriguez, Ian Craddock:
On-Board Feature Extraction from Acceleration Data for Activity Recognition. EWSN 2018: 163-168 - [c25]Antonis Vafeas
Energy-Efficient, Noninvasive Water Flow Sensor. SMARTCOMP 2018: 139-146 - [c24]James Pope
An accelerometer lossless compression algorithm and energy analysis for IoT devices. WCNC Workshops 2018: 396-401 - [c23]Xenofon Fafoutis
Adaptive static scheduling in IEEE 802.15.4 TSCH networks. WF-IoT 2018: 263-268 - [c22]Xenofon Fafoutis
Extending the battery lifetime of wearable sensors with embedded machine learning. WF-IoT 2018: 269-274 - [c21]Ryan McConville
Understanding the quality of calibrations for indoor localisation. WF-IoT 2018: 676-681 - [i7]Atis Elsts, Tilo Burghardt, Dallan Byrne, Dima Damen, Xenofon Fafoutis, Sion L. Hannuna, Víctor Ponce-López
A Guide to the SPHERE 100 Homes Study Dataset. CoRR abs/1805.11907 (2018) - [i6]Ryan McConville, Gareth Archer, Ian Craddock, Herman J. ter Horst, Robert J. Piechocki, James Pope, Raúl Santos-Rodriguez:
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. CoRR abs/1807.04667 (2018) - 2017
- [j6]Niall Twomey
Unsupervised learning of sensor topologies for improving activity recognition in smart environments. Neurocomputing 234: 93-106 (2017) - [j5]Xenofon Fafoutis
Designing Wearable Sensing Platforms for Healthcare in a Residential Environment. EAI Endorsed Trans. Pervasive Health Technol. 3(12): e1 (2017) - [c20]Atis Elsts
Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. DCOSS 2017: 3-10 - [c19]Atis Elsts
Adaptive channel selection in IEEE 802.15.4 TSCH networks. GIoTS 2017: 1-6 - [c18]Sammy Krachunov, Christopher Beach
Energy efficient heart rate sensing using a painted electrode ECG wearable. GIoTS 2017: 1-6 - [c17]Ian Craddock:
The SPHERE Experience. iWOAR 2017: 2:1 - [c16]James Pope
SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. LCN Workshops 2017: 128-135 - [c15]Kristina Y. Yordanova
What's cooking and why? Behaviour recognition during unscripted cooking tasks for health monitoring. PerCom Workshops 2017: 18-21 - [c14]Przemyslaw Woznowski
Evaluating the use of voice-enabled technologies for ground-truthing activity data. PerCom Workshops 2017: 135-139 - [i5]Tom Diethe, Niall Twomey, Meelis Kull, Peter A. Flach, Ian Craddock:
Probabilistic Sensor Fusion for Ambient Assisted Living. CoRR abs/1702.01209 (2017) - 2016
- [j4]Przemyslaw Woznowski
Classification and suitability of sensing technologies for activity recognition. Comput. Commun. 89-90: 34-50 (2016) - [j3]Lili Tao, Adeline Paiement
A comparative study of pose representation and dynamics modelling for online motion quality assessment. Comput. Vis. Image Underst. 148: 136-152 (2016) - [j2]Xenofon Fafoutis
A residential maintenance-free long-term activity monitoring system for healthcare applications. EURASIP J. Wirel. Commun. Netw. 2016: 31 (2016) - [c13]Lili Tao, Tilo Burghardt, Majid Mirmehdi
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home. ACCV Workshops (1) 2016: 239-251 - [c12]Xu Luo, Przemyslaw Woznowski
SPLASH: Smart-Phone Logging App for Sustaining Hydration Enabled by NFC. CHI Extended Abstracts 2016: 1526-1532 - [c11]Xenofon Fafoutis
SPW-1: A Low-Maintenance Wearable Activity Tracker for Residential Monitoring and Healthcare Applications. eHealth 360° 2016: 294-305 - [c10]Wenda Li
Opportunistic physical activity monitoring via passive WiFi radar. HealthCom 2016: 1-6 - [c9]Przemyslaw Woznowski
A Human Activity Recognition Framework for Healthcare Applications: Ontology, Labelling Strategies, and Best Practice. IoTBD 2016: 369-377 - [c8]Atis Elsts
Microsecond-Accuracy Time Synchronization Using the IEEE 802.15.4 TSCH Protocol. LCN Workshops 2016: 156-164 - [c7]Xenofon Fafoutis
Energy Neutral Activity Monitoring: Wearables Powered by Smart Inductive Charging Surfaces. SECON 2016: 1-9 - [i4]Niall Twomey, Tom Diethe
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. CoRR abs/1603.00797 (2016) - [i3]Lili Tao, Tilo Burghardt, Majid Mirmehdi, Dima Damen, Ashley Cooper, Sion L. Hannuna, Massimo Camplani, Adeline Paiement, Ian Craddock:
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home. CoRR abs/1607.08196 (2016) - 2015
- [j1]Ni Zhu, Tom Diethe
Bridging e-Health and the Internet of Things: The SPHERE Project. IEEE Intell. Syst. 30(4): 39-46 (2015) - [c6]Lili Tao, Tilo Burghardt, Sion L. Hannuna, Massimo Camplani
A comparative home activity monitoring study using visual and inertial sensors. HealthCom 2015: 644-647 - [c5]Przemyslaw Woznowski
A multi-modal sensor infrastructure for healthcare in a residential environment. ICC Workshops 2015: 271-277 - [c4]Evgeny Tsimbalo, Xenofon Fafoutis
Mitigating packet loss in connectionless Bluetooth Low Energy. WF-IoT 2015: 291-296 - [c3]Bo Tan
Wi-Fi based passive human motion sensing for in-home healthcare applications. WF-IoT 2015: 609-614 - 2014
- [c2]Evangelos Mellios, Angelos A. Goulianos, Sema Dumanli
Off-body Channel Measurements at 2.4 GHz and 868 MHz in an Indoor Environment. BODYNETS 2014 - [i2]Alison Burrows, Rachel Gooberman-Hill, Ian Craddock, David Coyle:
SPHERE: Meaningful and Inclusive Sensor-Based Home Healthcare. CoRR abs/1402.0200 (2014) - [i1]Alison Burrows, Rachel Gooberman-Hill, Ian Craddock, David Coyle:
Sensors for healthcare: Would you want them in your home? CoRR abs/1408.2476 (2014) - 2013
- [c1]Sema Dumanli
Energy Efficient Body Area Networking Based on Off-the-shelf Wireless Sensors. BODYNETS 2013: 103-107
Coauthor Index
George C. Oikonomou
aka: George Oikonomou
aka: George Oikonomou
Raúl Santos-Rodríguez
aka: Raúl Santos-Rodriguez
aka: Raúl Santos-Rodriguez
Emma Tonkin
aka: Emma L. Tonkin
aka: Emma L. Tonkin
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