Christine Martindale


Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Project member

HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home
Prof. Dr. Björn Eskofier
(01/02/2018 - 31/01/2019)

BayMed-Sleep: Analysis of the effect of sleep coaching
Prof. Dr. Jochen Klucken; Prof. Dr. Björn Eskofier
(01/12/2017 - 30/09/2019)

SmartAnnotation: Smart Annotation using semi-supervised techniques
Prof. Dr. Björn Eskofier
(01/02/2015 - 30/01/2019)

Publications (Download BibTeX)

Go to first page Go to previous page 1 of 2 Go to next page Go to last page

Martindale, C., Sprager, S., & Eskofier, B. (2019). Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables. Sensors, 198.
Martindale, C., Roth, N., Gaßner, H., Jensen, D., Kohl, Z., & Eskofier, B. (2018). Mobile Gait Analysis Using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Honolulu, Hawaii, US.
Haji Ghassemi, N., Hannink, J., Martindale, C., Gaßner, H., Müller, M., Klucken, J., & Eskofier, B. (2018). Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors.
Martindale, C., Roth, N., Hannink, J., Sprager, S., & Eskofier, B. (2018). Smart Annotation Tool for Multi-sensor gait based daily activity data. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Athens, GR.
Roth, N., Martindale, C., Gaßner, H., Kohl, Z., Klucken, J., & Eskofier, B. (2018). Synchronized sensor insoles for clinical gait analysis in home-monitoring applications. (pp. 433-437). Walter de Gruyter GmbH.
Eskofier, B., Lee, S.I., Manuela, B., Simon, A., Martindale, C., Gaßner, H., & Klucken, J. (2017). An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring. Applied Sciences, 7(10).
Groh, B., Warschun, F., Deininger, M., Kautz, T., Martindale, C., & Eskofier, B. (2017). Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3).
Martindale, C., Strauss, M., Gaßner, H., List, J., Müller, M., Klucken, J.,... Eskofier, B. (2017). Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE. Jeju Island, South Korea, KR: IEEE.
Martindale, C., Heymans, S., Suler, A., Antonios, P., Dickinson, R., & Choi, J. (2017). Simultaneous Ultrasound Therapy and Monitoring of Microbubble-Seeded Acoustic Cavitation Using a Single-Element Transducer. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 64(8), 1234 - 1244.
Martindale, C., Hönig, F.T., Strohrmann, C., & Eskofier, B. (2017). Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models. Sensors, 17(10).

Last updated on 2019-01-04 at 23:54