Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Aamir Arsalan"'
Autor:
Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, Aamir Arsalan, Rashid Amin, Rahma Gantassi, Sadam Hussain Noorani
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/a9619f1b92584e08a8358f032c354cd3
Autor:
Imran Mehmood, Heng Li, Waleed Umer, Aamir Arsalan, Shahnawaz Anwer, Mohammed Aquil Mirza, Jie Ma, Maxwell Fordjour Antwi-Afari
Publikováno v:
Developments in the Built Environment, Vol 15, Iss , Pp 100198- (2023)
Construction equipment operations that require high levels of attention can cause mental fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental fatigue using single-modal data with acceptable accuracy. However, me
Externí odkaz:
https://doaj.org/article/52db72f37e8d496192d770f0fee88a31
Autor:
Tehmina Hafeez, Sanay Muhammad Umar Saeed, Aamir Arsalan, Syed Muhammad Anwar, Muhammad Usman Ashraf, Khalid Alsubhi
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0246913 (2021)
Video games have become a ubiquitous part of demographically diverse cultures. Numerous studies have focused on analyzing the cognitive aspects involved in game playing that could help in providing an optimal gaming experience by improving video game
Externí odkaz:
https://doaj.org/article/303f7f6b3dd2481a856da3dd5cf6a32f
Autor:
Sheharyar Khan, Syed M. Adnan Shah, Sadam Hussain Noorani, Aamir Arsalan, M. Ehatisham-ul-Haq, Aasim Raheel, Wakeel Ahmed
Publikováno v:
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
Autor:
Aamir Arsalan, Muhammad Majid
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:5739-5749
In this paper, we present a trait anxiety detection framework using resting-state electroencephalography (EEG) data. Our proposed framework consists of EEG data acquisition, pre-processing, feature extraction and selection, and classification stages.
Publikováno v:
IEEE Sensors Journal. 21:7899-7907
Detecting and recognizing objects and human-object interactions have great importance in many application areas, such as security and surveillance, robotics, and health monitoring. Over the past few years, many methods have been introduced for activi
Publikováno v:
IEEE Sensors Journal. 20:6532-6541
Personality traits are fundamental parameters to characterize an individual's behavior. Recently physiological signals are used to recognize personality traits in response to emotional videos, but gives good accuracies only for few traits. In this st
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 23:2257-2264
Human stress is a serious health concern, which must be addressed with appropriate actions for a healthy society. This paper presents an experimental study to ascertain the appropriate phase, when electroencephalography (EEG) based data should be rec
Publikováno v:
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST).
A helmet is a protective headgear used by riders to make driving safer and avoid injuries. In this paper, a smart helmet is designed which is capable of detecting fall of riders and then transmitting a message through a global system of mobile (GSM)
Autor:
Muhammad Usman Ashraf, Khalid Alsubhi, Sanay Muhammad Umar Saeed, Aamir Arsalan, Tehmina Hafeez, Syed Muhammad Anwar
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0246913 (2021)
PLoS ONE
PLoS ONE
Video games have become a ubiquitous part of demographically diverse cultures. Numerous studies have focused on analyzing the cognitive aspects involved in game playing that could help provide an optimal gaming experience level by improving video gam