Sensory Mechanism Modeling for Pilot Spatial Orientation

A multisensory model for dynamic spatial orientation developed by Joshua Borah. The model translates aircraft or simulator motion into stimuli processed by dynamic models of visual, vestibular, tactile, and proprioceptive sensors, feeding into a central estimator modeled as a steady-state Kalman Filter. The computer program has predicted qualitative characteristics of human orientation under combined visual and platform motion.

Use Cases

• Developing effective simulator motion cueing devices based on the quantitative model of sensory integration.
• Testing predictions of human dynamic spatial orientation under combined wide-field visual and platform motion.
• Investigating non-linear effects like the delay in onset of visually induced motion within the linear estimation framework.
• Exploring the integration of special tactile and proprioceptive cues for orientation modeling.

Strengths

• Model is based on a linear optimal estimator (steady-state Kalman Filter), providing a unique and conceptually appealing framework.
• The description indicates the model has successfully predicted important qualitative characteristics of human orientation.
• Model incorporates dynamic models of multiple sensory systems: visual, vestibular, tactile, and proprioceptive.

Limitations

• Description metadata is limited; actual data quality and structure require manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description notes that several types of special tactile and proprioceptive cues have not been validated.

Provenance

Source

Joshua Borah

Collection Method

Modeling effort described in an academic abstract.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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