Refine
Year of publication
Document Type
- Conference Proceeding (267)
- Article (173)
- Book (124)
- Working Paper (83)
- Other Publications (75)
- Journal (67)
- Report (52)
- Master's Thesis (48)
- Part of a Book (45)
- Doctoral Thesis (24)
Language
- German (654)
- English (317)
- Multiple languages (2)
- Russian (1)
Keywords
- .NET Remoting (1)
- .NET-Plattform (1)
- 2 D environment Laser data (1)
- 3D Skelett Wickeltechnik (1)
- AAL (3)
- ADO.NET (1)
- ASP.NET (1)
- Abflussmenge (1)
- Abflussregime (1)
- Abflussrohr (1)
Institute
- Center for Business Compliance & Integrity - CBCI (1)
- Fakultät Architektur und Gestaltung (19)
- Fakultät Bauingenieurwesen (22)
- Fakultät Elektrotechnik und Informationstechnik (8)
- Fakultät Informatik (63)
- Fakultät Maschinenbau (24)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (24)
- Institut für Angewandte Forschung - IAF (26)
- Institut für Optische Systeme - IOS (10)
- Institut für Strategische Innovation und Technologiemanagement - IST (15)
Strategie der digitalen Ära
(2015)
Digitale Transformation
(2015)
Wettbewerb und Wagnis
(2015)
Post harvest technology
(2015)
Beyond the SDG compass
(2015)
CSR und Compliance
(2015)
Assessment Literacy
(2015)
Shadow IT risk
(2015)
Schatten-IT
(2015)
Schatten-IT
(2015)
The number of home office workers sitting for many hours is increasing. The sensor chair is tracking users’ sitting behavior which the help of pressure sensors and tries to avoid wrong postures which may cause diseases. The system provides live monitoring of the pressure distribution via web interface, as well as sitting posture prediction in real time. Posture analysis is realized through machine learning algorithm using a decision tree classifier that is compared to a random forest. Data acquisition and aggregation for the learning process happens with a mobile app adding users biometrical data and the taken sitting posture as label. The sensor chair is able to differentiate between an arched back, a neutral posture or a laid back position taken on the chair. The classifier achieves an accuracy of 97.4% on our test set and is comparable to the performance of the random forest with 98.9%.
The goal of the presented project is to develop the concept of home ehealth centers for barrier-free and cross-border telemedicine. AAL technologies are already present on the market but there is still a gap to close until they can be used for ordinary patient needs. The general idea needs to be accompanied by new services, which should be brought together in order to provide a full coverage of service for the users. Sleep and stress were chosen as predominant diseases for a detailed study within this project because of their widespread influence in the population. The executed scientific study of available home devices analyzing sleep has provided the necessary to select appropriate devices. The first choice for the project implementation is the device EMFIT QS+. This equipment provides a part of a complete system that a home telemedical hospital can provide at a level of precision and communication with internal and/or external health services.
Tourist tracking
(2015)
IGA using subdivision-solids
(2015)
Vortrag auf dem Doktorandenkolloquium des Kooperativen Promotionskollegs der HTWG, 09.07.2015
