2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Behavior learning via state chains from motion detector sensors

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2423,
        author={Dietmar Bruckner and Brian Sallans and Roland Lang},
        title={Behavior learning via state chains from motion detector sensors},
        proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        proceedings_a={BIONETICS},
        year={2008},
        month={8},
        keywords={Hidden Markov models  behavior recognition  intelligent environment  intelligent sensor systems},
        doi={10.4108/ICST.BIONETICS2007.2423}
    }
    
  • Dietmar Bruckner
    Brian Sallans
    Roland Lang
    Year: 2008
    Behavior learning via state chains from motion detector sensors
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2007.2423
Dietmar Bruckner1,*, Brian Sallans2,*, Roland Lang1,*
  • 1: Institue of Computer Technology, Vienna University of Technology
  • 2: Programm- und Systementwicklung Siemens AG Austria
*Contact email: bruckner@ict.tuwien.ac.at, brian.sallans@fin4cast.com, langr@ict.tuwien.ac.at

Abstract

A method for the automatic discrimination of sensor and system behavior and construction of symbols with semantic meaning from simple sensor data is introduced - SCRS (Semantic Concept Recognition System). The automated method is based on statistical modelling of sensor behavior. A model of a sensorpsilas value sequences is automatically constructed. The modelpsilas structure and parameters are optimized using an minibatch model merging and parameter updating algorithm. Incoming sensor values are then conveyed to the model and the most probable path through the model to some particular state is computed. That classification can be interpreted as a semantic symbol or concept. The SCRS can be used as a security and care system for observation of persons and interpretation of scenarios. An example modelling a motion detector is discussed. The SCRSpsilas method of representing scenarios can be also used in autonomous agents for decision making processes. An example is discussed.