Machine learning approaches to knowledge synthesis and integration tasks for advanced engineering
Computers in Industry - Special issue: Intelligent manufacturing systems—IMS'89
Computers in Industry - Special issue: Process/workflow mining
Analyzing features for activity recognition
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
GART: the gesture and activity recognition toolkit
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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In this paper we present a novel concept for cognitive assistance and training in manual industrial assembly. In the European FP7 project COGNITO, our aim is to design a mobile, personal system, which instructs operators in task solving and tool handling. The system not only provides instructions, but it is also able to understand and induce human workflows. Due to its high sensing capabilities, the system automatically analyzes and records assembly workflows by observing advanced users to build-up a system-internal understanding of assembly processes. The captured knowledge is then used by the system to assist and train inexperienced operators. The overall approach is based on state-of-the-art techniques in motion and object tracking, task analysis, decision-making and user-adaptive visualisation by means of augmented reality. The COGNITO system is an important step towards cognitive operator support. Enterprise knowledge can be documented, shared and applied in a cooperative and interactive manner, enabling human operators to keep pace with increased complexity in industrial processes.