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Dr. Paul M. Torrens, Computer Science and Engineering, Tandon School & Center for Urban Science + Progress, New York University

Capturing body language

Project overviewEye candy | Related groups
Project overview

For this project, supported by the Ford Motor Company, we are developing a library of posture and gesture data that can help us to better understand potential interactions between vehicles and pedestrians. The work is motivated, in particular, with the increasing sophistication with which vehicle-based sensor platforms can image and tag signals of human activity as they traverse urban spaces. In building the data-set, we will rely on motion capture of body language data, which allows us to acquire very high-resolution positions for key sequences of body language, which we can then process and map to synthetic computational rigs. In this way, these data can be subsumed into our other modeling platforms for what-if simulation and visualization.


Eye candy


GIS movement traces big data analytics GIS movement traces big data analytics

Motion capture data for pedestrian movement, retargeted to a synthetic character rig for body language analysis and tagging of activities.


Related groups

Ford Research and Innovation Center



GIS movement tracks

Capturing body language

GIS movement tracks

Massive ice CA

GIS movement tracks

Spatiotemporal GIS

GIS movement tracks

Urban simulation in GIS

GIS movement tracks

Big data movement analytics


climate indicators spatial analysis

Land indicators of climate

geosimulation high performance computing

High-performance computing and networking for geosimulation

earthquake model agent based GIS

Earthquake models

CA ice sheet model

Ice-sheet modeling

kinect control of GIS and robots
Robot motion control

simulating disasters ABM GIS
Human behavior in critical scenarios

crowd model riot model simulation wired

Modeling riots

physics engine GIS

Dynamic physics for built infrastructure

moving agents through space and time

Moving agents through space and time

validating agent based models

Validating agent-based models

machine learning GIS

Machine-learning behavioral geography

high performance computing urban simulation emergence

Accelerating agent-based models

megacity models

Megacity futures

immersive modeling

Immersive modeling

space-time GIS

Space-time GIS and analysis

measuring sprawl

A toolkit for measuring sprawl

space-time GIS

Modeling time, space, and behavior

simulating crowd behavior

Simulating crowd behavior

wi-fi geography

Wi-Fi geography

Simulating sprawl

Simulating sprawl