Anindya Das Antar
Anindya Das Antar
PhD student and RA, University of Michigan; B.Sc.: University of Dhaka
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review
AD Antar, M Ahmed, MAR Ahad
2019 Joint 8th International Conference on Informatics, Electronics & Vision …, 2019
212019
A comparative approach to classification of locomotion and transportation modes using smartphone sensor data
AD Antar, M Ahmed, MS Ishrak, MAR Ahad
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
202018
Vision-based Action Understanding for Assistive Healthcare: A Short Review.
MAR Ahad, AD Antar, O Shahid
CVPR Workshops, 1-11, 2019
192019
An Approach to Classify Human Activities in Real-time from Smartphone Sensor Data
M Ahmed, AD Antar, MAR Ahad
2019 Joint 8th International Conference on Informatics, Electronics & Vision …, 2019
172019
OU-ISIR wearable sensor-based gait challenge: Age and gender
TT Ngo, MAR Ahad, AD Antar, M Ahmed, D Muramatsu, Y Makihara, ...
2019 International Conference on Biometrics (ICB), 1-6, 2019
92019
IoT sensor-based activity recognition
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-based Activity Recognition. Springer, 2020
72020
POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes
M Ahmed, AD Antar, T Hossain, S Inoue, MAR Ahad
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
72019
Wearable Sensor-Based Gait Analysis for Age and Gender Estimation
MAR Ahad, TT Ngo, AD Antar, M Ahmed, T Hossain, D Muramatsu, ...
Sensors 20 (8), 2424, 2020
22020
OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender.
TN Thanh, Y Hattori, MAR Ahad, AD Antar, M Ahmed, D Muramatsu, ...
ICB, 1-6, 2019
2019
Methodology of Activity Recognition: Features and Learning Methods
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 27-62, 0
Sensor-Based Human Activity Recognition: Challenges Ahead
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 175-189, 0
Introduction on Sensor-Based Human Activity Analysis: Background
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 1-12, 0
Basic Structure for Human Activity Recognition Systems: Preprocessing and Segmentation
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 13-25, 0
Sensor-Based Benchmark Datasets: Comparison and Analysis
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 95-121, 0
An Overview of Classification Issues in Sensor-Based Activity Recognition
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 123-132, 0
Human Activity Recognition: Data Collection and Design Issues
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 63-75, 0
Deep Learning for Sensor-Based Activity Recognition: Recent Trends
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 149-173, 0
Performance Evaluation in Activity Classification: Factors to Consider
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 133-147, 0
Devices and Application Tools for Activity Recognition: Sensor Deployment and Primary Concerns
MAR Ahad, AD Antar, M Ahmed
IoT Sensor-Based Activity Recognition, 77-94, 0
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