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Indoor positioning technology based on WLAN signal strength is one of the most practical technical solutions. Considering the factors of environmental adaptability, laying cost and system complexity, the signal fingerprint positioning has become the first choice of the real time positioning technology. Because of the requirement of real-time positioning, the number of samples collected in the online...
Estimation eye gaze direction is useful in various human-computer interaction tasks. Knowledge of gaze direction can give valuable information regarding users point of attention. Certain patterns of eye movements known as eye accessing cues are reported to be related to the cognitive processes in the human brain. We propose a real-time framework for the classification of eye gaze direction and estimation...
Classification between foggy and non-foggy images is a primitive step for automation in traffic activity and industries. The existing techniques provide low accuracy and needs validation over both synthetic and natural database. Foggy images are identified and classified based on their optical characteristics for vision enhancement and to make them more efficient for further processing. In proposed...
This paper proposes a novel method for estimation of strength of excitation (SoE) from speech signal. Using lowpass filtering to remove the effect of relatively high frequency vocal tract characteristics, we estimate epoch locations. Using these epoch locations we estimate SoE. The database used for evaluation purpose is CMU-ARCTIC database consisting of electroglottograph (EGG) signals. In addition,...
Orientation field estimation is significantly important for fingerprint recognition. Dictionary based algorithm and its variant, localized dictionaries based algorithm have shown promising performance. In this paper, we extend the original dictionary based algorithm to a multi-scale version. The motivation is that small scale dictionary is more accurate while large scale dictionary is more robust...
Biometric data collection is an important first step toward biometrics research practice, although it is a considerably laborious task, particularly for behavioral biometrics such as gait. We therefore propose an automatic gait data collection system in conjunction with an experience-based exhibition. In the exhibition, participants enjoy an attractive online demonstration of state-of-the-art video-based...
Given a common dataset, two methods operating on that dataset and reported equal-error rate (EER) for each method, then we can estimate whether the two methods differ significantly at the threshold leading to the EER. This enables the calculation of a boundary on the significance for methods where the significance was not reported in the original paper or to compare new methods to older ones by evaluating...
Wrist type photoplethysmographic (PPG) signals are vulnerable to motion artifacts (MA), which affects the heart rate (HR) estimation. In this work, we have proposed an efficient method to estimate and track HR using PPG signals and simultaneous acceleration signals. In our method, an MA signal is generated by choosing one of the three axis acceleration signals based on their highest bandpower. An...
Humans are increasingly cooperating with machinery/robots in a high number of domains and under uncontrolled conditions. When persons are interacting with machinery, they are exposed to distraction/fatigue, which can lead to dangerous situations. The evaluation of individual's attention and fatigue levels is highly needed in such situations. This is an important measurement to avoid the interaction...
Increased traffic and hence congestion is a major problem in cities or urban areas. To mitigate this problem of congestion a real-time traffic density estimation model is essential. This research proposes one such model for estimating the traffic congestion level with the help of Vehicular Ad-hoc Network (VANET) and Cloud Computing. In this work, a novel architecture and algorithm has been proposed...
Objective measures of speech quality are attractive because they facilitate performance assessment of hearing aids (HAs) without the need for human listeners. Objective speech quality predictions are usually performed intrusively, wherein the “closeness” between the reference and HA output speech recordings is quantified. In this paper, we focus on nonintrusive estimation of HA speech quality based...
Database-aided user association, where users are associated with data base stations (BSs) based on a database which stores their geographical location with signal-to-noise-ratio tagging, will play a vital role in the futuristic cellular architecture with separated control and data planes. However, such approach can lead to inaccurate user-data BS association, as a result of the inaccuracies in the...
Age classification and estimation is an important task in classifying face images. One way to classify humans by age is by using two-dimensional images of people's faces. In order to create an accurate algorithm for age classification, appropriate datasets for training and testing are required. A small number of datasets are available for age estimation and classification based on images of human...
This paper deals with missing data in semiconductor manufacturing derived from measurement sampling strategies. The idea is to construct a virtual metrology module to estimate non measured variables using a new modified Just-In-Time Learning approach (JITL). The classical method has been proposed and applied to chemical process. This latter presents some drawbacks and our main contribution is to improve...
This paper presents direction of departure (DOD)-based localization technique suitable for indoor environment. Localization is performed by estimating direction from known multiple beacons, where each of them comprises two antennas and 180° hybrid. DOD estimation is performed only from received signal strength indicator (RSSI), which does not have phase information. Indoor measurement campaign has...
This paper addresses the problem of speaker identification in noisy conditions. A two-step noise reduction algorithm based on soft mask and minimum mean square error short-time spectral amplitude estimator was proposed. It is used in the signal preprocessing stage for more robust speaker identification. The proposed algorithm was tested and compared with the existing noise reduction algorithms in...
In the actual competitive software industry, software development organizations need a better and formal estimation approaches in order to increase the success rate of software projects. However, currently the estimation approach typically employed in industry is the expert judgment ('experience-based'). Using measures and estimations that continue to be based on researchers' intuition does not contribute...
Speaker recognition is the process of identifying a speaker by his/her speech samples. By extracting the speaker-specific features from the speech samples, the recognition task can be done. The formant estimation of speech sample of specific speaker is important for feature extraction in speaker recognition, because the formants are unique and reflect the vocal tract information of a speaker. In the...
It is possible to divine a speaker's age, gender and emotion through his pitch independently of what he is saying. However, the same words can lead to different meanings with variations intonation. Meanwhile, precise pitch estimation is more or less difficult because tracked pitch contours are not perfectly smooth curves. In this paper, we introduce a new post-processing algorithm for the tracking...
Prompted by the rise in the use of small satellites throughout the space industry in the late 1980's, The Aerospace Corporation began to study small satellites to better understand the design principles that were being employed in their implementation. These studies highlighted the fact that cost models developed for traditional large satellites were not applicable to small satellites. This led to...
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