US Patent Application 18446090. GRIP FORCE ESTIMATION DEVICE AND GRIP FORCE ESTIMATION METHOD simplified abstract

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GRIP FORCE ESTIMATION DEVICE AND GRIP FORCE ESTIMATION METHOD

Organization Name

Murata Manufacturing Co., Ltd.

Inventor(s)

Tomoshige Furuhi of Kyoto (JP)

Nobuyuki Nozawa of Kyoto (JP)

Koji Kawano of Kyoto (JP)

Takehiko Iizuka of Kyoto (JP)

Jun Makino of Kyoto (JP)

Takashi Watanabe of Kyoto (JP)

Kenta Ago of Kyoto (JP)

GRIP FORCE ESTIMATION DEVICE AND GRIP FORCE ESTIMATION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18446090 titled 'GRIP FORCE ESTIMATION DEVICE AND GRIP FORCE ESTIMATION METHOD

Simplified Explanation

The patent application describes a grip force estimation device for sports equipment.

  • The device includes a sensor attached to the sports equipment, specifically to a columnar portion with a grip and hitting portion.
  • The sensor detects bending and twisting of the sports equipment and outputs this as a sensor signal.
  • A feature data extraction unit extracts feature data from the sensor signal when pressure is applied to the hitting portion.
  • The grip force estimation unit uses the feature data to estimate the pressure applied to the grip portion of the sports equipment.


Original Abstract Submitted

A grip force estimation device includes a sensor that is attached to sports equipment including a columnar portion having a grip portion at one end and a hitting portion connected to the columnar portion and is attached not at the grip portion but at the columnar portion, and that is configured to detect at least one of bending and twisting of the sports equipment and output detected bending and/or twisting as a sensor signal, a feature data extraction unit configured to extract feature data including a feature when a waveform generated by the hitting portion being externally applied with pressure is attenuated by using the sensor signal, and a grip force estimation unit configured to estimate pressure applied to the grip portion by using the feature data.