Apple had 371 patents in internet of things during Q1 2024. Apple Inc filed patents in Q1 2024 for techniques to estimate muscular force using surface electromyography, a wearable device for monitoring swimming behavior and sending alerts, hand gesture recognition using machine learning, a head mountable display with removable electrical connectors and tension force band, and generating synthesized data for virtual reality applications. These patents focus on improving user experience and health metrics through innovative technology. GlobalData’s report on Apple gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Apple grant share with internet of things as a theme is 39% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Force estimation from wrist electromyography (Patent ID: US20240099627A1)
The patent filed by Apple Inc. describes a device and method for estimating muscular force using surface electromyography (EMG) measurements collected from electrodes worn on a user's wrist. The device includes circuitry to collect voltage measurements over time and estimate muscular force based on the variation between adjacent voltage measurements and spectral properties. The estimated muscular force can be used for hand gesture recognition and health metrics of the user. The method involves deriving spectral moments, adjusting based on calibration, and discarding measurements under certain conditions to improve accuracy.
The device and method outlined in the patent focus on estimating muscular force through EMG measurements collected from a user's wrist. By utilizing a differential pair of electrodes and analyzing voltage measurements over time, the device can estimate muscular force based on metrics such as spectral moments and variation between adjacent measurements. Additionally, the method includes steps for estimating health metrics based on the muscular force estimate and implementing filters and adjustments to enhance the accuracy of the measurements. Overall, the patent aims to provide improved techniques for estimating muscular force that can be beneficial for hand gesture recognition and monitoring the user's health.
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