Muhammad Farooq - Concepedia

Author

Muhammad Farooq

University of Alabama ORCID

Also Known As

Farooq, Muhammad, M Sajid Farooq, M. Farooq, M. Sajid Farooq, Muhammad Farooq, Muhammad Sajid Farooq

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

University of Alabama Boston University University of Colorado Anschutz Medical Campus Prince Mohammad bin Fahd University Minhaj University Lahore

About

Muhammad Farooq is an author at University of Alabama specializing in engineering, wearable technology, and biostatistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	724
2	Biostatistics	9	9	409
3	Health Sciences	6	6	291
4	Education	3	3	250
5	Public Health	3	3	103

Muhammad Farooq

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior Juan Manuel Fontana, Muhammad Farooq, Edward Sazonov IEEE Transactions on Biomedical Engineering Wearable SystemPhysical ActivityEngineeringMeasurementBiometrics	2014	207
A Novel Wearable Device for Food Intake and Physical Activity Recognition Muhammad Farooq, Edward Sazonov Sensors NutritionWearable SystemPhysical ActivityEngineeringBiometrics	2016	132
A novel approach for food intake detection using electroglottography Muhammad Farooq, Juan Manuel Fontana, Edward Sazonov Physiological Measurement	2014	94
Accelerometer-Based Detection of Food Intake in Free-Living Individuals Muhammad Farooq, Edward Sazonov IEEE Sensors Journal NutritionEngineeringFeature DetectionBiometricsAccelerometer	2018	68
Automatic Measurement of Chew Count and Chewing Rate during Food Intake Muhammad Farooq, Edward Sazonov Electronics	2016	62
Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor Muhammad Farooq, Edward Sazonov IEEE Journal of Biomedical and Health Informatics Wearable SystemEngineeringBiometricsAccelerometerWearable Technology	2016	55
Meal Microstructure Characterization from Sensor-Based Food Intake Detection Abul Doulah, Muhammad Farooq, Xin Yang, Frontiers in Nutrition	2017	48
Validation of Sensor-Based Food Intake Detection by Multicamera Video Observation in an Unconstrained Environment Muhammad Farooq, Abul Doulah, Jason Parton, Nutrients	2019	45
Detection of chewing from piezoelectric film sensor signals using ensemble classifiers Muhammad Farooq, Edward Sazonov EngineeringMachine LearningBiometricsWearable TechnologyFood Intake	2016	41
Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm Iliyas Karim Khan, Hanita Daud, Nooraini Binti Zainuddin, Egyptian Informatics Journal Cluster ComputingCluster DevelopmentDocument ClusteringClustering (Nuclear Physics)Engineering	2024	38

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