Christine Martindale

According to our database, Christine Martindale authored at least 17 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Wearables-based multi-task gait and activity segmentation using recurrent neural networks.

Christine F. Martindale, Vincent Christlein, Philipp Klumpp, Björn M. Eskofier

Neurocomputing, 2021

2020

Cyclic motion analysis using inertial sensors and machine learning = Zyklische Bewegungsanalyse mit Inertialsensoren und maschinellem Lernen.

Christine Martindale

PhD thesis, 2020

Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients.

Christine F. Martindale, Nils Roth, Heiko Gaßner, Julia List, Martin Regensburger, Björn M. Eskofier, Zacharias Kohl

IEEE J. Biomed. Health Informatics, 2020

Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System.

Jesus D. Ceron, Christine F. Martindale, Diego M. López, Felix Kluge, Björn M. Eskofier

Sensors, 2020

2019

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables.

Christine F. Martindale, Sebastijan Sprager, Björn M. Eskofier

Sensors, 2019

A Mobile Solution for Rhythmic Auditory Stimulation Gait Training.

Katharina Aholt, Christine F. Martindale, Arne Küderle, Heiko Gaßner, Till Gladow, Javier Rojo, Samanta Villanueva Mascato, Jochen Klucken, María Teresa Arredondo Waldmeyer, Björn M. Eskofier

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.

Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier

Sensors, 2018

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data.

Christine F. Martindale, Nils Roth, Julius Hannink, Sebastijan Sprager, Björn M. Eskofier

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients.

Christine F. Martindale, Nils Roth, Heiko Gassner, Dennis Jensen, Zacharias Kohl, Björn M. Eskofier

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models.

Christine F. Martindale, Florian Hoenig, Christina Strohrmann, Björn M. Eskofier

Sensors, 2017

Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors.

Benjamin H. Groh, Frank Warschun, Martin Deininger, Thomas Kautz, Christine Martindale, Björn M. Eskofier

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia.

Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Blind path obstacle detector using smartphone camera and line laser emitter.

Rimon Saffoury, Peter Blank, Julian Sessner, Benjamin H. Groh, Christine F. Martindale, Eva Dorschky, Jörg Franke, Björn M. Eskofier

Proceedings of the 1st International Conference on Technology and Innovation in Sports, 2016

Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix.

Bo Zhou, Harald Koerger, Markus Wirth, Constantin Zwick, Christine Martindale, Heber Cruz, Björn M. Eskofier, Paul Lukowicz

Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Workshop on wearables for sports.

Christine F. Martindale, Markus Wirth, Stefan Schneegass, Markus Zrenner, Benjamin H. Groh, Peter Blank, Dominik Schuldhaus, Thomas Kautz, Björn M. Eskofier

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Blood glucose level prediction based on support vector regression using mobile platforms.

Maximilian P. Reymann, Eva Dorschky, Benjamin H. Groh, Christine Martindale, Peter Blank, Björn M. Eskofier

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation.

Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016