A fuzzy spiking neural network using optical oscillosensor and pneumatic sensor for human state estimation

2010 World Automation Congress, WAC 2010

Volumn , Issue , 2010, Pages

  Obo, Takenori ^a   Kubota, Naoyuki ^a   Sawayama, Toshiyuki ^b   Taniguchi, Kazuhiko ^c  

^a TOKYO METROPOLITAN UNIVERSITY   (Japan)

^b Japan Medical Instrument Co Ltd   (Japan)

^c KINDEN CORPORATION   (Japan)

Author keywords

Aged society; Data analysis; Fuzzy theory; Spiking neural network; State estimation

Indexed keywords

AGED SOCIETY; DATA ANALYSIS; ELDERLY PEOPLE; ESTIMATION OF HUMAN BEHAVIORS; FUZZY MEMBERSHIP FUNCTION; FUZZY THEORY; HEALTH FACILITIES; HUMAN BEHAVIORS; NUMERICAL EXPERIMENTS; SENSORY INPUT; SPIKING NEURAL NETWORKS;

BEHAVIORAL RESEARCH; DATA HANDLING; ESTIMATION; FUZZY LOGIC; HEALTH; HEALTH CARE; MEMBERSHIP FUNCTIONS; NUMERICAL METHODS; PNEUMATICS; SENSORS; STATE ESTIMATION;

NEURAL NETWORKS;

EID: 78651431451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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2. N. Kubota, T. Obo and B. Lee, Localization of Human in Informationally Structured Space Based on Sensor Networks, The 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010) of the 2010 IEEE World Congress on Computational Intelligence 2010, 2010(accepted).
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