Learning Human Identity from Motion Patterns

Brandon Barbello , Natalia Neverova , Deepak Chandra , Lex Fridman
arXiv: Learning

194
2015
Mobile Active Authentication via Linguistic Modalities

Rachel Greenstadt , Moshe Kam , Lex Fridman , Patrick Brenna

2015
Driver frustration detection from audio and video in the wild

Irman Abdić , Daniel McDuff , Bryan Reimer , Björn Schuller
international joint conference on artificial intelligence 1354 -1360

48
2016
Neural Computation of Statistical Image Properties in Peripheral Vision

Christoph Zetzsche , Konrad Gadzicki , Ruth Rosenholtz , Lex Fridman

2017
A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision

Christoph Zetzsche , Ruth Rosenholtz , Bryan Reimer , Lex Fridman
arXiv: Neural and Evolutionary Computing

1
2017
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

Lex Fridman , Benedikt Jenik , Jack Terwilliger
arXiv: Neural and Evolutionary Computing

40
2018
Hacking Nonverbal Communication Between Pedestrians and Vehicles in Virtual Reality

Lex Fridman , Jack Terwilliger , Henri Schmidt , Dina AlAdawy
arXiv: Human-Computer Interaction

24
2019
Distinguishing patterns in drivers’ visual attention allocation using Hidden Markov Models

Mauricio Muñoz , Bryan Reimer , Joonbum Lee , Bruce Mehler
Transportation Research Part F-traffic Psychology and Behaviour 43 90 -103

29
2016
"Owl' and "Lizard': patterns of head pose and eye pose in driver gaze classification

Lex Fridman , Joonbum Lee , Bryan Reimer , Trent Victor
Iet Computer Vision 10 ( 4) 308 -314

45
2016
A Machine Learning Approach for Power Allocation in HetNets Considering QoS

Roohollah Amiri , Hani Mehrpouyan , Lex Fridman , Ranjan K. Mallik
2018 IEEE International Conference on Communications (ICC) 1 -7

38
2018
Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload

Joonbum Lee , Ben D. Sawyer , Bruce Mehler , Linda Angell
Transportation Research Record 2663 ( 2663) 82 -89

4
2017
What Can Be Predicted from Six Seconds of Driver Glances

Lex Fridman , Heishiro Toyoda , Sean Seaman , Bobbie Seppelt
human factors in computing systems 2805 -2813

25
2017
Measuring Adult Drivers’ Use of Level 1 and 2 Driving Automation by Roadway Functional Class:

Ian J. Reagan , Wen Hu , Jessica B. Cicchino , Bobbie Seppelt
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63 ( 1) 2093 -2097

3
2019
Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location

Lex Fridman , Steven Weber , Rachel Greenstadt , Moshe Kam
IEEE Systems Journal 11 ( 2) 513 -521

230
2017
MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios

Li Ding , Michael Glazer , Meng Wang , Bruce Mehler
ieee intelligent vehicles symposium

2020
Driver Gaze Region Estimation without Use of Eye Movement

Lex Fridman , Philipp Langhans , Joonbum Lee , Bryan Reimer
IEEE Intelligent Systems 31 ( 3) 49 -56

146
2016
Deep Learning for Understanding the Human

Lex Fridman
human factors in computing systems

2018
Multi-modal decision fusion for continuous authentication

Lex Fridman , Ariel Stolerman , Sayandeep Acharya , Patrick Brennan
Computers & Electrical Engineering 41 142 -156

34
2015
A Framework for Robust Driver Gaze Classification

Lex Fridman , Joonbum Lee , Bryan Reimer , Bruce Mehler
SAE Technical Paper Series (Society of Automotive Engineers) 8

2
2016