Aasim Raheel

According to our database, Aasim Raheel authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio-visual content using EEG.

Aasim Raheel

Comput. Biol. Medicine, 2024

2021

DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media.

Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar

Inf. Fusion, 2021

Expert-novice classification of mobile game player using smartphone inertial sensors.

Muhammad Ehatisham-ul-Haq, Aamir Arsalan, Aasim Raheel, Syed Muhammad Anwar

Expert Syst. Appl., 2021

Emotion Recognition in Response to Haptic Enhanced Multimedia Using EEG.

Shams-Ul-Haq, Aasim Raheel, Muhammad Majid

Proceedings of the International Conference on Information Technology, 2021

Gender Recognition using EEG during Mobile Game Play.

Bushra Fatima, Aasim Raheel, Aamir Arsalan, Muhammad Majid, Muhammad Ehatisham-ul-Haq, Syed Muhammad Anwar

Proceedings of the International Conference on Information Technology, 2021

2020

Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia.

Aasim Raheel, Muhammad Majid, Majdi R. Alnowami, Syed Muhammad Anwar

Sensors, 2020

2019

Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography.

Aasim Raheel, Syed Muhammad Anwar, Muhammad Majid

Multim. Tools Appl., 2019

A study on the effects of traditional and olfaction enhanced multimedia on pleasantness classification based on brain activity analysis.

Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar

Comput. Biol. Medicine, 2019

Driving Activity Recognition of Motorcyclists Using Smartphone Sensor.

Aasim Raheel, Muhammad Ehatisham-ul-Haq, Anees Iqbal, Hanan Ali, Muhammad Majid

Proceedings of the Intelligent Technologies and Applications, 2019

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals.

Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019