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Sarah Fallmann
Sarah Fallmann
Verified email at dmu.ac.uk
Title
Cited by
Cited by
Year
Computational sleep behavior analysis: A survey
S Fallmann, L Chen
IEEE Access 7, 142421-142440, 2019
282019
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
162017
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
102016
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
82018
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
62018
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
42017
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
42017
Fine-grained sleep-wake behaviour analysis
S Fallmann, L Chen, F Chen
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019
12019
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 (5), 1557-1559, 2018
12018
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
12016
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
2020
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
S Fallmann, J Kropf
eHealth 360°, 419-424, 2017
2017
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
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