标识身体部位
By integrating skin contact sensors, skin color sensors, and proximity sensors into handheld devices, and combining this with MLM analysis, the problem of accurately identifying body parts during use of handheld devices has been solved, improving operational safety and efficiency.
CN114258282BActive Publication Date: 2026-07-17KONINKLIJKE PHILIPS NV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KONINKLIJKE PHILIPS NV
- Filing Date
- 2020-08-17
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing handheld devices have difficulty accurately identifying body parts during use, leading to improper operation or low efficiency.
Method used
Using a computer-based approach, skin contact sensors, skin color sensors, and proximity sensors are used to measure relevant parameters. The measured signals are then analyzed using a trained machine learning model (MLM) to identify body parts.
Benefits of technology
It enables accurate identification of body parts, improves operational safety and efficiency, and adapts to the processing needs of different body parts.
✦ Generated by Eureka AI based on patent content.
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Figure CN114258282B_ABST
Abstract
根据一个方面，提供了标识对其使用手持设备的对象的身体部位的计算机实现的方法。手持设备用于对对象执行个人护理操作，并且手持设备包括用于在个人护理操作期间接触对象皮肤的头部部分。手持设备还包括一个或多个传感器，用于测量相应参数并且在手持设备被用于对象的皮肤上时生成相应的测量信号，并且一个或多个传感器包括以下项中的至少一项：(a)皮肤接触传感器，由皮肤接触传感器所测量的参数指示头部部分是否与皮肤接触，(b)肤色传感器，由肤色传感器所测量的参数指示与头部部分接触的皮肤的肤色，或者指示与头部部分接触的皮肤相邻的皮肤的肤色，以及(c)接近传感器，由接近传感器所测量的参数指示从接近传感器到与头部部分接触的皮肤相邻的皮肤的距离。方法包括：从一个或多个传感器中的每个传感器获取相应的测量信号，每个测量信号包括当手持设备在对象的皮肤上使用时的相应参数的测量值时间序列；使用经训练的机器学习模型MLM来分析所获取的一个或多个测量信号，以标识对其使用手持设备的对象的身体部位，其中经训练的MLM分析每个时间窗口中与所获取的一个或多个测量信号有关的多个测量值来标识身体部位；以及输出所标识的身体部位的指示。
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