Plume Design has filed a patent for systems and methods that use radar-based detection in a home environment to identify human behavior. The system includes a processing device and memory device that analyze movement data from radar-based sensing devices to determine human activity and characteristics, as well as the identity of the person performing the activity. GlobalData’s report on Plume Design 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 Plume Design, AI assisted network mgmt was a key innovation area identified from patents. Plume Design's grant share as of September 2023 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Radar-based system for identifying human behavior in a home
A recently filed patent (Publication Number: US20230288536A1) describes a system and method for analyzing movement data obtained from radar-based sensing devices in a predefined setting to identify human activities and determine characteristics of those activities. The system includes a processing device and a memory device that stores instructions for analyzing the movement data. The movement data includes micro-Doppler data based on reflection signals received by the radar-based sensing devices over time. The radar-based sensing devices can utilize various signals, such as Intermediate Frequency (IF) signals, Frequency Modulation (FM) signals, Continuous Wave (CW) signals, and more.
The method involves obtaining the movement data from the radar-based sensing devices and analyzing it to identify human activities and determine characteristics of those activities. The predefined setting can be a domestic environment with multiple spaces or rooms, and the radar-based sensing devices can be oriented at different angles to monitor these spaces. The human activities that can be identified include walking, running, falling, exercising, cooking, using home appliances, and more. The characteristics of the human activities that can be determined include speed, acceleration, direction, location within the setting, gait, balance, and more.
The method also includes determining the identity of the person performing the human activity. This can be done by comparing the characteristics of the human activity with pre-stored behavioral patterns or by clustering the movement data to identify different people in the setting. The system can also utilize a mobile application to request the user to walk in front of the radar at a known time or enter the identity and time of a person walking in front of the sensor.
Additionally, the method can assess the quality of sleeping, determine fall risks or changes in fall risks based on the characteristics of the human activity, and automatically notify a caregiver if the health or safety risk exceeds a predetermined threshold. The movement data can be combined with audio data from the setting to enhance the identification of human activities and the detection of their characteristics or to distinguish the identity of the individual. The system can also perform responsive actions based on the identified human activity, its characteristics, and the identity of the person, such as controlling lights, HVAC systems, security systems, and more.
Overall, this patent describes a system and method that utilize radar-based sensing devices to analyze movement data and identify human activities, determine their characteristics, and determine the identity of the person performing the activities. The system has potential applications in healthcare, home automation, and security systems.
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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.
