NEC Corporation Patent Application for Estimation Device

ChangeBridge: Patent Apps - Health Informatics (G16H)

Published December 2nd, 2025

Detected March 26th, 2026

Summary

The USPTO has published a patent application from NEC Corporation for an estimation device. The application, filed on December 2, 2025, describes a system that extracts gait waveform features to estimate a user's physical condition based on their attributes.

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What changed

This document is a patent application (US20260088176A1) filed by NEC Corporation on December 2, 2025, for an estimation device, system, method, and recording medium. The core innovation involves extracting feature amounts from a user's gait waveform to estimate their physical condition, taking into account user attributes that influence physical manifestations.

As this is a patent application, it does not impose immediate regulatory obligations or deadlines on regulated entities. However, it signals potential future technological developments in health informatics and medical device monitoring. Companies operating in the health informatics and medical device sectors should be aware of this patent filing as it may relate to future product development, intellectual property landscapes, and emerging standards in gait analysis and remote patient monitoring.

Source document (simplified)

← USPTO Patent Applications

ESTIMATION DEVICE, ESTIMATION SYSTEM, ESTIMATION METHOD, AND RECORDING MEDIUM

Application US20260088176A1 Kind: A1 Mar 26, 2026

Assignee

NEC Corporation

Inventors

Chenhui HUANG, Zhenwei WANG, Kenichiro FUKUSHI, Fumiyuki NIHEY, Hiroshi KAJITANI, Kentaro NAKAHARA

Abstract

An estimation device including a feature amount extraction unit that extracts, from a gait waveform extracted from time series data of sensor data based on a motion of a foot of a user, a feature amount according to an attribute of the user in a section in which a feature of a physical condition according to the attribute of the user appears; and estimates the physical condition of the user using the feature amount extracted according to the attribute of the user.

CPC Classifications

G16H 50/20 A61B 5/1036 A61B 5/1121 A61B 5/6807 A61B 5/743 G16H 50/30 G16H 50/70 A61B 2503/08 A61B 2560/045 A61B 2560/0462 A61B 2562/0219 A61B 2562/0247