STMicroelectronics had four patents in mobile during Q2 2024. STMicroelectronics NV has developed an electronic device with a sensor unit that includes a sensor and low power processing unit. This unit uses unsupervised machine learning to recognize user or device activities, allowing users to teach the device new activities. The device can request the user to stay still before performing the activity, record sensor data during the activity, and generate an activity template for future inference. GlobalData’s report on STMicroelectronics gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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STMicroelectronics had no grants in mobile as a theme in Q2 2024.
Recent Patents
Application: Sensor unit with on-device unsupervised learning and classification (Patent ID: US20240192762A1)
The patent filed by STMicroelectronics NV describes an electronic device with a sensor unit that utilizes unsupervised machine learning processes to recognize user activities or motions. The sensor unit prompts the user to remain stationary before performing an activity, records sensor data during the activity, generates an activity template, and then infers when the user is performing the activity by comparing sensor signals to the template. The method involves training the sensor unit to recognize specific motions, such as weight lifting or cardiovascular exercises, by generating templates based on sensor data and then detecting when the user is performing those motions.
The electronic device includes a sensor, learning module, and activity detection module to facilitate the training and recognition of user motions. The learning module performs unsupervised machine learning processes to generate templates for specific motions based on sensor data, while the activity detection module compares new sensor data to the templates to detect when the user is performing the motions. The device can store multiple templates in memory and is capable of detecting anomalies in device operation based on sensor data that does not conform to the templates. This technology can be applied to various electronic devices, including smartwatches, smartphones, and vehicles, to enhance user interaction and activity tracking capabilities.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
