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 (BSN, 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 (EMBC, 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 (UbiComp Adjunct, 2016)

Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix. - Bo Zhou 005; Harald Koerger; Markus Wirth; Constantin Zwick; Christine Martindale; Heber Cruz; Björn M. Eskofier; Paul Lukowicz (ISWC, 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 (TISHW, 2016)

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. - Christine F. Martindale; Martin Strauss 003; Heiko Gassner; Julia List; Meinard Müller; Jochen Klucken; Zacharias Kohl; Björn M. Eskofier (EMBC, 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)

Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models. - Christine F. Martindale; Florian Hoenig; Christina Strohrmann; Björn M. Eskofier (Sensors, 2017)

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 (EMBC, 2018)

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data. - Christine F. Martindale; Nils Roth; Julius Hannink; Sebastijan Sprager; Björn M. Eskofier (PerCom Workshops, 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)

A Mobile Solution for Rhythmic Auditory Stimulation Gait Training. - Katharina Aholt; Christine F. Martindale; Arne Küderle; Heiko Gaßner; Till Gladow; Javier Rojo 002; Samanta Villanueva Mascato; Jochen Klucken; María Teresa Arredondo Waldmeyer; Björn M. Eskofier (EMBC, 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)

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 001; Björn M. Eskofier (Sensors, 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)

Cyclic motion analysis using inertial sensors and machine learning = Zyklische Bewegungsanalyse mit Inertialsensoren und maschinellem Lernen. - Christine Martindale (2020)

Wearables-based multi-task gait and activity segmentation using recurrent neural networks. - Christine F. Martindale; Vincent Christlein; Philipp Klumpp; Björn M. Eskofier (Neurocomputing, 2021)