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Träfflista för sökning "WFRF:(Wang H) srt2:(2015-2019);lar1:(hh)"

Search: WFRF:(Wang H) > (2015-2019) > Halmstad University

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1.
  • 2019
  • Journal article (peer-reviewed)
  •  
2.
  • Menezes, Maria Luiza Recena, 1983-, et al. (author)
  • Towards emotion recognition for virtual environments : an evaluation of eeg features on benchmark dataset
  • 2017
  • In: Personal and Ubiquitous Computing. - London : Springer London. - 1617-4909 .- 1617-4917. ; 21:6, s. 1003-1013
  • Journal article (peer-reviewed)abstract
    • One of the challenges in virtual environments is the difficulty users have in interacting with these increasingly complex systems. Ultimately, endowing machines with the ability to perceive users emotions will enable a more intuitive and reliable interaction. Consequently, using the electroencephalogram as a bio-signal sensor, the affective state of a user can be modelled and subsequently utilised in order to achieve a system that can recognise and react to the user’s emotions. This paper investigates features extracted from electroencephalogram signals for the purpose of affective state modelling based on Russell’s Circumplex Model. Investigations are presented that aim to provide the foundation for future work in modelling user affect to enhance interaction experience in virtual environments. The DEAP dataset was used within this work, along with a Support Vector Machine and Random Forest, which yielded reasonable classification accuracies for Valence and Arousal using feature vectors based on statistical measurements and band power from the and waves and High Order Crossing of the EEG signal. © 2017, The Author(s).
  •  
3.
  • Wang, H. J., et al. (author)
  • Evaluation method of running performance for five-axis machining center based on the "S" specimen
  • 2019
  • In: 16th International Conference on Metrology and Properties of Engineering Surfaces (Met and Props 2017). - Bristol, UK : Institute of Physics (IOP).
  • Conference paper (peer-reviewed)abstract
    • With the development of industries and the advanced manufacturing technology, the performance of the machine tools plays an important role for the product quality. Machining performance of five-axis machining centers, MC, in the manufacturing industry has been a hot research area, where evaluation methods based on cutting of a test piece are common, but it have proved hard to determine the relationship between test piece deviations and machine tool sensor data during manufacturing. An "S" test specimen has the characteristics of open and close angle, variable curvature, thin wall, and low stiffness. The quality of a machined "S" specimen is used to test the characteristics of five-axis MCs. Inaccurate manufacturing results in unqualified parts and the loss of business. Normally geometrical errors are hard to adjust and compensate for in the process. In order to evaluate, and map the relationship between the characteristics of geometrical work-piece deviations from a MC to in-line sensor data, a monitoring system was established in this study. The LABVIEW monitoring evaluation system is developed based on "running performance tracing". By using a coordinate measuring machine, CMM, and a Scanning Electron Microscope to measure the actual geometry and surface finish of the machined S part and compare it to the ideal geometry, a database and a running performance evaluation model for 5-axis MC based on the "S" specimen was developed. Finally, the effectiveness of the method of evaluation is verified by cutting experiments using a MAZAK five-axis MC. The Achievements reported here are helpful for solving the lack of systems to evaluate the running performance of five-axis CNC machine tools for high-end manufacturing industry in China, which has important application prospect and high economic value.
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  • Result 1-3 of 3
Type of publication
journal article (2)
conference paper (1)
Type of content
peer-reviewed (3)
Author/Editor
Alonso-Fernandez, Fe ... (1)
Wang, H. (1)
Kelly, Daniel (1)
Bengtsson-Palme, Joh ... (1)
Nilsson, Henrik (1)
Kelly, Ryan (1)
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Li, Ying (1)
Moore, Matthew D. (1)
Liu, Fang (1)
Zhang, Yao (1)
Jin, Yi (1)
Raza, Ali (1)
Rafiq, Muhammad (1)
Zhang, Kai (1)
Khatlani, T (1)
Kahan, Thomas (1)
Sörelius, Karl, 1981 ... (1)
Batra, Jyotsna (1)
Roobol, Monique J (1)
Backman, Lars (1)
Yan, Hong (1)
Schmidt, Axel (1)
Lorkowski, Stefan (1)
Thrift, Amanda G. (1)
Zhang, Wei (1)
Hammerschmidt, Sven (1)
Patil, Chandrashekha ... (1)
Wang, Jun (1)
Pollesello, Piero (1)
Conesa, Ana (1)
El-Esawi, Mohamed A. (1)
Zhang, Weijia (1)
Li, Jian (1)
Marinello, Francesco (1)
Frilander, Mikko J. (1)
Wei, Pan (1)
Badie, Christophe (1)
Zhao, Jing (1)
Li, You (1)
Bansal, Abhisheka (1)
Rahman, Proton (1)
Parchi, Piero (1)
Polz, Martin (1)
Ijzerman, Adriaan P. (1)
Subhash, Santhilal, ... (1)
Quinn, Terence J. (1)
Uversky, Vladimir N. (1)
Gemmill, Alison (1)
Zhang, Yi (1)
Meule, Adrian (1)
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University
Halmstad University  (3)Undo refine
University of Gothenburg (1)
Uppsala University (1)
Stockholm University (1)
Lund University (1)
Chalmers University of Technology (1)
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Karolinska Institutet (1)
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Language
English (3)
Research subject (UKÄ/SCB)
Engineering and Technology (2)
Natural sciences (1)
Medical and Health Sciences (1)

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