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COGNITO - Cognitive Workflow Capturing and Rendering with On-Body Sensor Networks

Associação CCG/zgdv - Centro de Computação Gráfica
Project classification

Scientific area

1.2 Computer and information sciences


Computer sciences, information science and bioinformatics (hardware development go to scientific area 2.2, social aspect to be 5.8)

Project description

Project title

COGNITO - Cognitive Workflow Capturing and Rendering with On-Body Sensor Networks

Scientific Coordinator's name:

Didier Stricker

Scientific Coordinator's e-mail:

Principal R&D Unit:

Computer Vision, Interaction and Graphics domain of applied research

Other R&D Units involved in the project:

Other R&D units involved in the project

Project keyword(s)

On-body sensor network; Workflow Monitoring; Computer Vision; Augmented Reality

Short abstract and comments

Automatic capturing, recognition, analysis and rendering of human sensory-motor activities are essential technologies in many diverse applications, ranging from 3D virtual manuals through to training simulators and novel computer games. In COGNITO, we have developed new capabilities of human activity capture, learning, analysis and monitoring. Moreover, we have linked these cognitive capabilities to a user interface, which allows context-sensitive assistance in complex industrial manual tasks. The project approach was defined as follows: - To develop an on-body sensor network of inertial and inertial/visual sensors. - To infer osteo-articular biomechanical models of the body. - To capture user activity based on on-body cameras and inertial sensors. - To model and monitor the task space based on video data from on-body cameras. - To analyse user activity with both global ergonomic and musculoskeletal assessment. - To learn, analyse and monitor workflows. - To assist workflow execution through a context-sensitive user interface.

Potential uses/indications

Industrial assembly lines; Teaching and training; ergonomic studies;



Partner Status: Seeking Partners?


Project weblink

Grant number (QREN, FP7, Eureka, etc)

FP7 - ICT - 248290

Last edited on

2015-05-07 13:49:53

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