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|Monday 17th February||Houshyar Asadi||Human Perception-based Washout Filtering
Driving simulators are very useful research tools for the governmental institution and research laboratories which are studying in different fields of vehicular and transport design to increase road safety. The aim of this study is to propose the best motion cueing algorithm that can accurately transform vehicle accelerations and angular velocities into simulator platform motions at high fidelity, within the simulator's physical limitations. This is to present the driver with a realistic virtual driving experience and less human sensation error. This presentation will review the various washout filter algorithm architectures, along with the suitable vestibular system models. The review has highlighted the drawbacks and gaps within the different kinds of washout algorithms and vestibular models. Finally, the proposed methodology utilized for the development of an improved optimal motion cueing algorithm is presented.
|Monday 10th February||Husaini Aza Mohd Adam||Colour Identification Based On Haptic Vibrational Frequencies
The human's visual sensory modality is capable of receiving a large amount of visual information. In today's world, an increasing amount of information is presented visually using digital screen displays. The ability to adequately perceive such visual information has a significant impact on day to day life. An example of such information is 2D visual art, where without adequate vision the information cannot be perceived and the art appreciated. Sensory substitution is one solution to representing visual information to the visually impaired. This paper introduces a haptic system which has been developed to represent colours through haptic vibrations. A new method for mapping colours to vibrations is proposed and evaluated. Vibration representing colour is generated using the Novint Falcon haptic device enabling users to identify colours within a 2D image. A frequency range of 20 Hz to 290Hz is utilised and users are able to differentiate thirteen distinct frequencies corresponding to thirteen colours. The results also show that participants are more successful in differentiating colours towards either end of frequency range than they are in the mid-range which aligns well with observations by other researchers about the frequency response of the human's tactile sensory modality.
|Monday 3rd February||Sherif Haggag||Cepstrum Based Unsupervised Spike Classification
In this research, we study the effect of feature selection in the spike detection and sorting accuracy. We introduce a new feature representation for neural spikes from multichannel recordings. The features selection plays a significant role in analysing the response of brain neurones. The more precise selection of features leads to a more accurate spike sorting, which can group spikes more precisely into clusters based on the similarity of spikes. Proper spike sorting will enable the association between spikes and neurones. Different with other threshold-based methods, the cepstrum of spike signals is employed in our method to select the candidates of spike features. Simulation results demonstrate that the proposed method not only achieve more accurate clustering results but also reduce computational burden, which implies that it can be applied into real-time spike analysis.
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