Abstract:
A control system includes a modal state change detection module configured to receive distinct modal inputs. The detection module is configured to detect a discrete state change of each modal input and to determine data characteristics of the current discrete state. The detection module also is configured to detect a user request. The control system also includes a multimodal interpretation module configured, on each detected state change, to store and update the data characteristics of the current discrete state of the modal input following the detected state change. The multimodal interpretation module is configured, on each detected incomplete request, to complete the incomplete request from the stored up-to-date characteristic data of the current discrete state of another modal input.
Abstract:
A system for determining an operational state of an aircrew according to an adaptive task plan. The system comprising a computer adapted to determine for the or each crew member at least one theoretical baseline crew member cognitive state according to the task list assigned to the crew member, using a resource model. The computer is adapted to determine an indicator of fitness of the or each crew member to perform the task(s) of the task list assigned to the crew member, from an actual crew member cognitive state determined on the basis of physiological measurements on the crew member and measurements of the crew member's interaction with the aircraft, and from the theoretical baseline crew member cognitive states.
Abstract:
An automatic speech recognition with detection of at least one contextual element, and application to aircraft flying and maintenance are provided. The automatic speech recognition device comprises a unit for acquiring an audio signal, a device for detecting the state of at least one contextual element, and a language decoder for determining an oral instruction corresponding to the audio signal. The language decoder comprises at least one acoustic model defining an acoustic probability law and at least two syntax models each defining a syntax probability law. The language decoder also comprises an oral instruction construction algorithm implementing the acoustic model and a plurality of active syntax models taken from among the syntax models, a contextualization processor to select, based on the state of the order each contextual element detected by the detection device, at least one syntax model selected from among the plurality of active syntax models, and a processor for determining the oral instruction corresponding to the audio signal.