Alps Alpine had one patents in big data during Q1 2024. Alps Alpine Co Ltd has developed a sensory control method that involves receiving a sensitivity parameter, converting it into a physical parameter related to sensory presentation, and outputting a sensory presentation signal based on the converted parameter. GlobalData’s report on Alps Alpine gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alps Alpine had no grants in big data as a theme in Q1 2024.
Recent Patents
Application: Sensory control method, sensory control system, method for generating conversion model, conversion model generation system, method for converting relational expression, and program (Patent ID: US20240036652A1)
The patent filed by Alps Alpine Co Ltd describes a sensory control method that involves receiving a sensitivity parameter, converting it into a physical parameter related to sensory presentation, and outputting a sensory presentation signal based on this conversion. The method includes steps for storing correspondence information between sensory presentations and sensitivity parameters, extracting correlated physical parameters, and generating a conversion model. The physical parameters can include variables related to operation reaction force, displacement, curvature, and acceleration, among others. The method can be used for tactile, auditory, or visual presentations, and can involve presenting sensations based on the sensory presentation signal.
Additionally, the patent describes a method for generating a conversion model by storing correspondence information, extracting physical parameters, and creating a model for converting sensitivity parameters. It also includes a method for converting relational expressions between sensitivity parameters and physical parameters. The patent further covers a program for implementing the sensory control method on a computer and a sensory control system with an input unit and processor for converting sensitivity parameters. Furthermore, a conversion model generation system is described with a storage unit and processor for extracting physical parameters and generating conversion models.
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