Identifying Characteristic Gait Patterns in Real-World Scenarios
A. Pfeifer, V. Lohweg, in: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), KIT Scientific Publishing, Karlsruhe, Dortmund, 2018, pp. 279–295.
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Abstract
The population of many industrialised countries are among the oldest in the world. In Germany, one-fifth of the population is currently over 65 years old, in 2050 it will be more than one-third [1]. Due to this demographic change, there will be more elderly people with chronic disease progressions and the number of neurodegenerative diseases such as dementia or Parkinson's disease will increase [1]. In this context, innovative approaches in medicine and care are particularly relevant for the modernisation of person-oriented …
Erscheinungsjahr
Titel des Konferenzbandes
28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)
Seite
279 - 295
Konferenz
28. WORKSHOP COMPUTATIONAL INTELLIGENCE
Konferenzort
Dortmund
Konferenzdatum
2018-11-29 – 2018-11-30
ELSA-ID
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Pfeifer A, Lohweg V. Identifying Characteristic Gait Patterns in Real-World Scenarios. In: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA). Dortmund: KIT Scientific Publishing, Karlsruhe; 2018:279-295. doi:10.5445/KSP/1000085935
Pfeifer, A., & Lohweg, V. (2018). Identifying Characteristic Gait Patterns in Real-World Scenarios. In 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) (pp. 279–295). Dortmund: KIT Scientific Publishing, Karlsruhe. https://doi.org/10.5445/KSP/1000085935
Pfeifer A and Lohweg V (2018) Identifying Characteristic Gait Patterns in Real-World Scenarios. 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA). Dortmund: KIT Scientific Publishing, Karlsruhe, pp. 279–295.
Pfeifer, Anton, and Volker Lohweg. “Identifying Characteristic Gait Patterns in Real-World Scenarios.” In 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), 279–95. Dortmund: KIT Scientific Publishing, Karlsruhe, 2018. https://doi.org/10.5445/KSP/1000085935.
Pfeifer, Anton und Volker Lohweg. 2018. Identifying Characteristic Gait Patterns in Real-World Scenarios. In: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 279–295. Dortmund: KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000085935, .
Pfeifer, Anton ; Lohweg, Volker: Identifying Characteristic Gait Patterns in Real-World Scenarios. In: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). Dortmund : KIT Scientific Publishing, Karlsruhe, 2018, S. 279–295
A. Pfeifer, V. Lohweg, Identifying Characteristic Gait Patterns in Real-World Scenarios, in: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), KIT Scientific Publishing, Karlsruhe, Dortmund, 2018: pp. 279–295.
A. Pfeifer and V. Lohweg, “Identifying Characteristic Gait Patterns in Real-World Scenarios,” in 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2018, pp. 279–295.
Pfeifer, Anton, and Volker Lohweg. “Identifying Characteristic Gait Patterns in Real-World Scenarios.” 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), KIT Scientific Publishing, Karlsruhe, 2018, pp. 279–95, doi:10.5445/KSP/1000085935.
Pfeifer, Anton/Lohweg, Volker (2018): Identifying Characteristic Gait Patterns in Real-World Scenarios, in: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, S. 279–295.
Pfeifer A, Lohweg V. Identifying Characteristic Gait Patterns in Real-World Scenarios. In: 28 Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). Dortmund: KIT Scientific Publishing, Karlsruhe; 2018. p. 279–95.
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