مجال
التميز
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تميز دراسي و بحثي
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البحوث المنشورة
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البحث (1):
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عنوان البحث:
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Context-aware
GPS integrity monitoring for intelligent transport systems
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رابط إلى البحث:
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here
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تاريخ النشر:
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14/01/2016
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موجز عن البحث:
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The integrity of positioning
systems has become an increasingly important requirement for location-based
intelligent transport systems (ITS), for example electronic toll collection
(ETC), public transport operations and traffic control services. In ITS, satellite
navigation systems, such as global positioning system (GPS), are used to
provide real-time vehicle positioning information including details of
longitude, latitude, direction and speed. Map matching algorithms are used to
integrate the positioning information into the digital road map. However, the
navigation systems used in ITS cannot provide the high quality positioning
information required by most services, due to the various types of errors
made in the map matching process and experienced by GPS sensors such as
signal outage, and errors due to atmospheric effects and receiver measurement
errors, all of which are difficult to measure. An error in the positioning
information or map matching process might lead to the inaccurate
determination of a vehicle location. This could have legal or economic
consequences for ITS applications such as traffic law enforcement systems
(e.g., speed fining). Such applications require integrity when measuring the
vehicle position and speed information and in the map matching process when
locating the vehicle on the correct road segment to avoid errors when
charging drivers. Consequently, the integrity algorithm for the navigation
system should include a guarantee that the systems do not produce misleading
or faulty information as this may lead to significant errors in the ITS
services provided. In this paper, a high integrity GPS monitoring algorithm
based on the concept of context-awareness that can be applied with real time
ITS services to integrate changes in the integrity status of the navigation
system was developed. Results suggest that the new integrity algorithm can
support various types of location-based ITS services (e.g., route guidance).
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المؤتمرات العلمية:
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المؤتمر (1):
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عنوان المؤتمر:
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10th Workshop on
Positioning, Navigation and Communication, WPNC 2013
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تاريخ الإنعقاد:
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20-21/03/2013
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بلد
ومكان الإنعقاد:
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Dresden, Germany
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طبيعة المشاركة:
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Poster
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عنوان
المشاركة
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GPS integrity monitoring for an intelligent
transport system
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موجز عن المشاركة
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The integrity of positioning systems has
become an increasingly important requirement for location-based ITS
applications, such as electronic toll collection, pay-as-you-drive and
traffic control systems. GPS receivers are used to provide vehicle position and
velocity data. However, GPS cannot provide the high quality positioning
information required by ITS applications due to atmospheric effects ,
receiver measurement errors, and multipath errors. In addition, some ITS
applications, such as traffic law enforcement systems (e.g., speed fining),
have legal or economic consequences and require integrity in both position
and speed information. Therefore, the integrity of GPS data is required to
guarantee that navigation systems will not produce misleading or faulty
information. Instead, to achieve the integrity goal, systems should warn the
user if there is a potential error in the GPS data. In this paper, a new
technique for providing high integrity GPS information for land vehicle
monitoring systems is proposed. The proposed method provides a three level
integrity check. Each level uses a different technique to check the
consistency of the GPS information. A receiver autonomous integrity
monitoring (RAIM) algorithm is used to measure the quality of GPS positioning
output. GPS Doppler information is used to check the integrity of vehicle
velocity, which adds a new layer of integrity and could improve the
performance of the map matching process. The final level in the integrity
check requires confirming the integrity of the map matching algorithm.
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الرابط
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Click here
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المؤتمر (2):
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عنوان المؤتمر:
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Seventh International Conference
on Affective Computing and Intelligent Interaction (ACII) 2017
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تاريخ الإنعقاد:
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23/10/2017
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مكان
الإنعقاد:
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San Antonio, TX, USA
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طبيعة المشاركة:
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Paper presentation
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عنوان المشاركة:
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Affect
Recognition in an Interactive Gaming Environment using Eye Tracking
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ملخص المشاركة:
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Eye tracking is more accurate
and less intrusive method to detect the affective state than other current
physiological sensing methods. This paper aims to investigate the degree to
which this affective state is automatically recognised from eye tracking
signals, namely pupillary responses. We tracked fourteen players while they
interacted with a virtual gaming environment, designed to elicit different
affective states corresponding to the arousal and valence dimensions of
Russell’s circumplex model. Pupillary response features with luminosity
compensation is used for automatic affect recognition. Moreover, pupillary
response features based on the Hilbert transform are proposed to improve the
recognition performance. The results demonstrated that the recognition of a
player’s affective state on both dimensions were successful with pupillary
response features and using the Hilbert transform improve the recognition
performance up to 76.0% and 61.4% on arousal and valence, respectively. This
highlights the potential of affect-aware gaming interfaces based on pupillary
responses sensing.
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الرابط:
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Click here
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المؤتمر (3):
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عنوان المؤتمر:
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19th ACM
International Conference on Multimodal Interaction ICMI 17
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تاريخ الإنعقاد:
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13/11/2017
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مكان
الإنعقاد:
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Glasgow, United Kingdom
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طبيعة المشاركة:
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Paper presentation
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عنوان المشاركة:
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Multimodal
Affect Recognition in an Interactive Gaming Environment using Eye Tracking
and Speech Signals
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ملخص المشاركة:
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This paper presents a multimodal affect
recognition system for interactive virtual gaming environments using eye
tracking and speech signals, captured in gameplay scenarios that are designed
to elicit controlled affective states based on the arousal and valence
dimensions. The Support Vector Machine is employed as a classifier to detect
these affective states from both modalities. The recognition results reveal
that eye tracking is superior to speech in affect detection and that the two
modalities are complementary in the application of interactive gaming. This
suggests that it is feasible to design an accurate multimodal recognition
system to detect players’ affects from the eye tracking and speech modalities
in the interactive gaming environment. We emphasise the potential of
integrating the proposed multimodal system into game interfaces to enhance
interaction and provide an adaptive gaming experience.
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الرابط:
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Click here
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