Using Algorithms on Smart Transducer: An IEEE Standard Perspective

Author

Zheng Liu ; Banakhr, Fahd ; Monte, Gustavo ; Huang, Victor

Author_Institution

Intell. Inf. Process. Lab., Toyota Technol. Inst., Nagoya, Japan

Volume

15

Issue

5

fYear

2015

fDate

42125

Firstpage

2523

Lastpage

2530

Abstract

This paper describes the role of algorithm development in the IEEE standard 21451.001. The purpose is to promote and enhance the computational capabilities of smart transducers and facilitate the flow from sensor raw data processing to sensor knowledge fusion. A case study on real-time segmentation and labeling is conducted to demonstrate the feasibility of the first layer algorithm. The key role of the IEEE 21451.001 standard is to standardize the data structure for user-defined application code and pattern learning algorithms and regulate the protocols for data sharing and exchange. The considerations for the standard development are illustrated and discussed. The foreseeable impact of the standard for algorithms is highlighted as well.

Keywords

IEEE standards; data structures; intelligent sensors; learning (artificial intelligence); sensor fusion; transducers; IEEE 21451.001 standard; computational capability; data exchange; data sharing; data structure; pattern learning algorithm; protocol; real-time segmentation; sensor knowledge fusion; sensor raw data processing; smart transducer; user-defined application code; Feature extraction; Intelligent sensors; Signal processing algorithms; Standards; Transducers; Vectors; Smart transducer; algorithm; feature extraction; sensor knowledge fusion;

fLanguage

English

Journal_Title

Sensors Journal, IEEE

Publisher

ieee

ISSN

1530-437X

Type

jour

DOI

10.1109/JSEN.2014.2360987

Filename

6914536