Mercari. has been granted a patent for a sensor designed to identify various user motions. The sensor features a deformable structure, an electrode for impedance measurement, and a determination unit to assess contact states, enabling it to output signals to external devices based on user interactions. GlobalData’s report on Mercari gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Mercari, Image-based transactions was a key innovation area identified from patents. Mercari's grant share as of July 2024 was 8%. Grant share is based on the ratio of number of grants to total number of patents.
Deformable sensor for detecting user motion and contact states
The patent US12072249B2 describes a novel sensor designed to detect and analyze deformation states of a deformable structure body when subjected to external forces. The sensor features an electrode that can be positioned at any location on the structure body, allowing for versatile applications. A determination unit is responsible for identifying a specific deformation state from various possible states by measuring changes in impedance through the electrode. This system is enhanced by an insulating shield member that includes openings for contact with an object, enabling the determination unit to differentiate between multiple deformation states based on these contacts. The output unit then transmits a signal related to the identified deformation state to an external device.
Further claims detail the sensor's capabilities, including the ability to determine deformation states based on peak frequency or waveform characteristics of the impedance change. The determination unit can also assess various parameters such as the distance between the contact point and the electrode, the area of contact, the pressure applied, and the material of the object in contact. Notably, the sensor can perform identity verification when the object is part of a human body and can detect specific user motions. Additionally, the sensor can utilize a learned model to correlate impedance changes with deformation states, and it can distinguish between different buttons on the structure body based on impedance variations. This innovative design presents potential applications in fields such as wearable technology, human-computer interaction, and medical devices.
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