Lear Corporation

Pat Carlsen

David J Abdella

Joshua Hallock

Michelle A Pereny

Sam Blair

Arjun Yetukuri

Paul S Severinski

David Gallagher

Francesco Migneco

Bradley C Duncan

Jasmine Pizana

William Webster

Caleb A Abbey

Wu Pan Zagorski

Kevin M Geisler

Ibrahim Valenzuela

Joseph A Himmel, Iv

Haifeng Liu

Abhay Prakash

Steven T Stavropoulos

A method of making a mesh cushion. The method includes extruding a material through a plurality of filament forming openings in at least one die plate to form a plurality of filaments. The filaments may be at least partially submerged into a fluid to cool and harden the filaments into the mesh cushion.

System and method of making a mesh cushion

A seat support is provided with a plurality of layers of a non-foam material to mount to a seat frame and to support an occupant upon the seat frame. The plurality of layers is stacked upon each other. At least one of the plurality of stacked layers has a generally uniform thickness.

Seat support

A neural network is used in a vehicle component to determine the stress level or arousal level of a vehicle occupant. Sensors in the vehicle cabin, e.g., the seat, sense biological characteristics of the occupant, e.g., neuro-electrical signals, cardiac characteristics, body temperature and the like. The neural network can compute and classify the emotional state of the occupant in real-time. The vehicle can trigger warnings, indicators and stress counter-measures when the occupant exceeds a threshold. The counter-measures can include visual and audio feedback within the vehicle cabin. The neural network can provide historical occupant emotional states that can be used by the navigation system to avoid travel segments that may trigger undesired emotional states in the occupant.

Biometric sensor fusion to classify vehicle passenger state

Growing community of inventors

Grosse Pointe, MI, United States of America

Pat Carlsen