| Computational sleep behavior analysis: A survey S Fallmann, L Chen IEEE Access 7, 142421-142440, 2019 | 60 | 2019 |
| Wearable accelerometer based extended sleep position recognition S Fallmann, R Van Veen, L Chen, D Walker, F Chen, C Pan 2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017 | 35 | 2017 |
| Human activity recognition of continuous data using Hidden Markov Models and the aspect of including discrete data S Fallmann, J Kropf 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced …, 2016 | 22 | 2016 |
| Detecting chronic diseases from sleep-wake behaviour and clinical features S Fallmann, L Chen 2018 5th international conference on systems and informatics (ICSAI), 1076-1084, 2018 | 11 | 2018 |
| Reality and perception: Activity monitoring and data collection within a real-world smart home S Fallmann, I Psychoula, L Chen, F Chen, J Doyle, D Triboan 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 8 | 2017 |
| Towards self-management of chronic diseases in smart homes: physical exercise monitoring for chronic obstruction pulmonary disease patients JG Teriús-Padrón, G Kapidis, S Fallmann, E Merdivan, S Hanke, ... 2018 IEEE international conference on pervasive computing and communications …, 2018 | 7 | 2018 |
| Real-time sensor observation segmentation for complex activity recognition within smart environments D Triboan, L Chen, F Chen, S Fallmann, I Psychoula 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 7 | 2017 |
| Enhanced multi-source data analysis for personalized sleep-wake pattern recognition and sleep parameter extraction S Fallmann, L Chen, F Chen Personal and Ubiquitous Computing, 1-21, 2020 | 4 | 2020 |
| Human Activity Pattern Recognition based on Continuous Data from a Body Worn Sensor placed on the Hand Wrist using Hidden Markov Models. S Fallmann, J Kropf Simul. Notes Eur. 26 (1), 9-16, 2016 | 2 | 2016 |
| Fine-grained sleep-wake behaviour analysis S Fallmann, L Chen, F Chen 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 1 | 2019 |
| Context, intelligence and interactions for personalized systems L Chen, S Fallmann, D López-de-Ipiña, C Pan, H Ning Journal of Ambient Intelligence and Humanized Computing 9, 1557-1559, 2018 | 1 | 2018 |
| Prediction of sequential patterns of domotic sensor data considering variable temporal pattern length S Fallmann, J Kropf WISHWell14 Proceedings-6th International Workshop on Intelligent …, 2014 | 1 | 2014 |
| Computational Sleep Behaviour Analysis and Application S Fallmann De Montfort University, 2020 | | 2020 |
| A Home-Based IoT-Enabled Framework for Sleep Behaviour Assessment S Fallmann, L Chen, F Chen 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2019 | | 2019 |
| Healthcare for Older People Research in Leicestershire S Conroy, J Brown, K Bell, V Haunton, TG Robinson, J Bannerjee, ... University of Nottingham, 2019 | | 2019 |
| Recognizing Human Behaviour from Temporal Sequential Data with Activity Assignment J Kropf, S Fallmann eHealth 360°, 2017 | | 2017 |
| Recognizing Human Behaviour from Temporal Sequential Data with Activity Assignment S Fallmann, J Kropf eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2016 | | 2016 |
| Giving a view on an automatic system for human behaviour recognition from temporal sequential data with activity assignment. S Fallmann, J Kropf Konferenz, 1-2, 2016 | | 2016 |
| Learning the structure of graphical models based on discrete time series data in the context S Fallmann | | 2015 |
| Learning the Structure of Graphical Models Based on Discrete Time Series Data in the Context of Ambient Assisted Living. S Fallmann, J Kropf Simul. Notes Eur. 25 (3-4), 157-164, 2015 | | 2015 |
