Text-Independent Voice Biometric for User Recognition

2021 ◽  
pp. 799-806
Author(s):  
Neera Batra ◽  
Sonali Goyal
Keyword(s):  
User Recognition

scholarly journals Tinjauan Desain Interface Website E-Commerce Wisata Mototravel.id Menggunakan Evaluasi Heuristik

2020 ◽  
Vol 2 (1) ◽  
pp. 43-49
Author(s):  
Danang Tejo Kumoro ◽  
Uswatun Hasanah
Keyword(s):  
Website Design ◽  
Heuristic Evaluation ◽  
Easy Method ◽  
Error Prevention ◽  
Travel Agent ◽  
User Recognition ◽  
Aesthetic Values ◽  
Consistency Error ◽  
Principle Of Complementarity ◽  
Do So

This article is an overview of the website design interface of Lombok travel agencymorotravel.id. This review carried out using a heuristic evaluation introduced by Molich andNielsen that evaluates an interface in an information system. Heuristic evaluation is a guidethat can guide the design or used it as a tool for criticizing a decision taken. The aim is toimprove the model effectively. The evaluation includes visibility of system status, compatibilitybetween the system and the real world, control of user freedom, standards, and consistency,error prevention, user recognition of the system, flexibility and efficiency, aesthetic values andminimum values, system help, help features, and documentation. The purpose of thisevaluation is to measure morotravel.id's interface standard as one of the travel agent websitesin Lombok so that it can become a reference for information systems in the world of tourism.Based on the evaluation, it has stated that overall the morotravel.id site interface is feasible touse because it fulfills the completeness of the principles in the heuristic assessment. Still, ithas some things that need to be improved, especially in the help system and documentation.Heuristic evaluation is pragmatic and easy to do so that it gets quick results. Although thismethod does not produce high certainty, it is a relatively easy method to start an analysis ofinterface design. The hope for the next is the use of more than one way to improve the qualityof the analysis results because it meets the principle of complementarity in each evaluationmethod

scholarly journals Recurrent Neural Network for Inertial Gait User Recognition in Smartphones

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4054 ◽  
Author(s):  
Fernandez-Lopez ◽  
Liu-Jimenez ◽  
Kiyokawa ◽  
Wu
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Inertial Sensors ◽  
Selection Process ◽  
Gait Recognition ◽  
Recognition Algorithm ◽  
Tuning Method ◽  
Random Grid ◽  
Hyperparameter Selection ◽  
User Recognition

In this article, a gait recognition algorithm is presented based on the information obtained from inertial sensors embedded in a smartphone, in particular, the accelerometers and gyroscopes typically embedded on them. The algorithm processes the signal by extracting gait cycles, which are then fed into a Recurrent Neural Network (RNN) to generate feature vectors. To optimize the accuracy of this algorithm, we apply a random grid hyperparameter selection process followed by a hand-tuning method to reach the final hyperparameter configuration. The different configurations are tested on a public database with 744 users and compared with other algorithms that were previously tested on the same database. After reaching the best-performing configuration for our algorithm, we obtain an equal error rate (EER) of 11.48% when training with only 20% of the users. Even better, when using 70% of the users for training, that value drops to 7.55%. The system manages to improve on state-of-the-art methods, but we believe the algorithm could reach a significantly better performance if it was trained with more visits per user. With a large enough database with several visits per user, the algorithm could improve substantially.

scholarly journals A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Min-Gu Kim ◽  
Hoon Ko ◽  
Sung Bum Pan
Keyword(s):  
Recognition Rate ◽  
Recognition System ◽  
Wearable Devices ◽  
Intelligent Vehicles ◽  
Point Method ◽  
Fiducial Point ◽  
Smart Cars ◽  
Near Future ◽  
User Recognition ◽  
Smart Vehicle

IoT enabled smart car era is expected to begin in the near future as convergence between car and IT accelerates. Current smart cars can provide various information and services needed by the occupants via wearable devices or Vehicle to Everything (V2X) communication environment. In order to provide such services, a system to analyze wearable device information on the smart car platform needs to be designed. In this paper a real time user recognition method using 2D ECG (Electrocardiogram) images, a biometric signal that can be obtained from wearable devices, will be studied. ECG (Electrocardiogram) signal can be classified by fiducial point method using feature points detection or nonfiducial point method due to time change. In the proposed algorithm, a CNN based ensemble network was designed to improve performance by overcoming problems like overfitting which occur in a single network. Test results show that 2D ECG image based user recognition accuracy improved by 1%~1.7% for the fiducial point method and by 0.9%~2% for the nonfiducial point method. By showing 13% higher performance compared to the single network in which recognition rate reduction occurs because similar characteristics are shown between classes, capability for use in a smart vehicle platform based user recognition system that requires reliability was demonstrated by the proposed method.

A Study on User Recognition of Shared Works Compensation

2019 ◽  
Vol 20 (3) ◽  
pp. 527-536
Author(s):  
Sung-wook Jang ◽  
Jang-Hyun Lim
Keyword(s):  
User Recognition
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