Fall prediction using behavioural modelling from sensor data in smart homes G Forbes, S Massie, S Craw Artificial Intelligence Review 53 (2), 1071-1091, 2020 | 65 | 2020 |
WiFi-based Human Activity Recognition using Raspberry Pi G Forbes, S Massie, S Craw 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 46 | 2020 |
Fitsense: Employing multi-modal sensors in smart homes to predict falls S Massie, G Forbes, S Craw, L Fraser, G Hamilton Case-Based Reasoning Research and Development: 26th International Conference …, 2018 | 10 | 2018 |
CSIKit: Python CSI processing and visualisation tools for commercial off-the-shelf hardware G Forbes | 6 | 2021 |
Representing temporal dependencies in smart home activity recognition for health monitoring G Forbes, S Massie, S Craw, L Fraser, G Hamilton 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 4 | 2020 |
Monitoring health in smart homes using simple sensors. S Massie, G Forbes, S Craw, L Fraser, G Hamilton CEUR Workshop Proceedings, 2018 | 4 | 2018 |
Employing multi-modal sensors for personalised smart home health monitoring. G Forbes | 3 | 2022 |
Motion Detection using CSI from Raspberry Pi 4 G Forbes, S Massie, S Craw, C Clare arXiv preprint arXiv:2111.09091, 2021 | 2 | 2021 |
Representing temporal dependencies in human activity recognition. G Forbes, S Massie, S Craw, L Fraser, G Hamilton CEUR Workshop Proceedings, 2020 | 1 | 2020 |
Optimising for Dense Deployments in Commercial Ambient Human Sensing with WiFi CSI G Forbes, S Massie 2024 IEEE 30th International Conference on Embedded and Real-Time Computing …, 2024 | | 2024 |
Visualisation to Explain Personal Health Trends in Smart Homes G Forbes, S Massie, S Craw arXiv preprint arXiv:2109.15125, 2021 | | 2021 |