Skip to Main content Skip to Navigation
Conference papers

Toward a Distributed Case-Based Reasoning for Human-Machine State Diagnosis: Application to Railway Driver State Analysis

Abstract : This paper purposes a specification of distributed case-based reasoning for human-machine state data-based diagnosis. Data is acquired using non-intrusive sensors such as eye-trackers or cameras aimed at the human operator face. The proposed distributed case-based reasoning formalism allows different configurations. In real-life applications, some sensors are unable to deliver correct information in particular situations, such as low light environments or when the human operator face gets outside the camera field of vision. The proposed approach can deal effectively with such loss of information
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03468271
Contributor : Kathleen TORCK Connect in order to contact the contributor
Submitted on : Tuesday, December 7, 2021 - 9:05:25 AM
Last modification on : Monday, March 28, 2022 - 3:35:08 PM

Identifiers

Collections

Citation

Philippe Polet, Denis Berdjag, Frédéric Vanderhaegen. Toward a Distributed Case-Based Reasoning for Human-Machine State Diagnosis: Application to Railway Driver State Analysis. 12th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Aug 2013, Las Vegas, Nevada, United States. ⟨10.3182/20130811-5-US-2037.00058⟩. ⟨hal-03468271⟩

Share

Metrics

Record views

17