S.M. Hasnat Ullah

ORCID: 0000-0003-1877-797X
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About
Contact & Profiles
Research Areas
  • Face recognition and analysis
  • Face and Expression Recognition
  • Currency Recognition and Detection
  • Hearing Loss and Rehabilitation
  • Acoustic Wave Phenomena Research
  • Gaze Tracking and Assistive Technology
  • EEG and Brain-Computer Interfaces
  • Speech and Audio Processing
  • Biometric Identification and Security

University of Electronic Science and Technology of China
2024

Khulna University of Engineering and Technology
2016-2017

Security and reconnaissance applications are prominent BCI paradigms which less complex sophisticated if there is no contamination in Electroencephalogram (EEG) signal. The better the quality of EEG signal ensures performance (better Information Transfer Rate (ITR), high Signal to Noise Ratio (SNR), Bandwidth (BW), so on) paradigms. Drowsiness one major that hampers operation modern In this research, a non-intrusive machine vision based concept used determine drowsiness from patient ensure...

10.1109/ceeict.2016.7873106 article EN 2016-09-01

This study is concentrated on the investigation of neuronal responses induced by Bangla vowels. Neuronal are estimated Auditory Model, which computational representative human auditory nerve fiber that determines neural spike rates elicited any sound wave. rate profiles two Vowels used to determine response dissimilarity proposed here as a vowel discriminating scale. The formulated using cross-correlation profiles. As unequal in length, Fourier transform coefficients calculate...

10.1109/icaee.2017.8255407 article EN 2017-09-01
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