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Alex Pentland

Researcher at Massachusetts Institute of Technology

Publications -  847
Citations -  104538

Alex Pentland is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Wearable computer & Social network. The author has an hindex of 131, co-authored 809 publications receiving 98390 citations. Previous affiliations of Alex Pentland include Vision-Sciences, Inc. & SRI International.

Papers
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Journal ArticleDOI

Eigenfaces for recognition

Matthew Turk, +1 more
- 01 Jan 1991 - 
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Proceedings ArticleDOI

Face recognition using eigenfaces

Matthew Turk, +1 more
TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI

Pfinder: real-time tracking of the human body

Christopher R. Wren, +3 more
- 01 Jul 1997 - 
TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Journal ArticleDOI

Reality mining: sensing complex social systems

Nathan Eagle, +1 more
TL;DR: The ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms is demonstrated.
Journal ArticleDOI

Computational Social Science

David Lazer, +16 more
- 06 Feb 2009 - 
TL;DR: In this article, a field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors at a large scale, such as behavior patterns.