Kieran Woodward
Orcid: 0000-0003-3302-1345
  According to our database1,
  Kieran Woodward
  authored at least 28 papers
  between 2018 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference.
    
  
    CoRR, February, 2025
    
  
    CoRR, February, 2025
    
  
    IEEE Pervasive Comput., 2025
    
  
  2024
Combining Deep Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification.
    
  
    ACM Trans. Comput. Heal., January, 2024
    
  
Combining Multiple Tiny Machine Learning Models for Multimodal Context-Aware Stress Recognition on Constrained Microcontrollers.
    
  
    IEEE Micro, 2024
    
  
The MEMO Project Inscription App: Fostering Community Engagement on Biodiversity Loss.
    
  
    Interactions, 2024
    
  
    Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
    
  
  2023
In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing.
    
  
    Pers. Ubiquitous Comput., December, 2023
    
  
    IEEE Commun. Mag., August, 2023
    
  
Co-creating an Object Recognition Exergame with Hospital Service Users to Promote Physical Activity.
    
  
    Proceedings of the Universal Access in Human-Computer Interaction, 2023
    
  
  2022
    IEEE Trans. Affect. Comput., 2022
    
  
    Proceedings of the HCI in Games, 2022
    
  
  2021
DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network.
    
  
    CoRR, 2021
    
  
Towards Personalised Mental Wellbeing Recognition On-Device using Transfer Learning "in the Wild".
    
  
    Proceedings of the IEEE International Smart Cities Conference, 2021
    
  
    Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2021
    
  
  2020
LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach.
    
  
    Pers. Ubiquitous Comput., 2020
    
  
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification.
    
  
    CoRR, 2020
    
  
    CoRR, 2020
    
  
    CoRR, 2020
    
  
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network.
    
  
    CoRR, 2020
    
  
DigitalPPE: low cost wearable that acts as a social distancingreminder and contact tracer: poster abstract.
    
  
    Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
    
  
    Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
    
  
  2019
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing.
    
  
    CoRR, 2019
    
  
    CoRR, 2019
    
  
    Proceedings of the 2019 IEEE SmartWorld, 2019
    
  
    Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
    
  
  2018
    Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
    
  
    Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018