Steelcase. has been granted a patent for advanced occupancy sensing systems and methods. The technology involves adjusting signal thresholds and analyzing motion signals to accurately determine human presence in a space, enhancing the calibration and effectiveness of motion sensor systems. GlobalData’s report on Steelcase 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 Steelcase, Gesture-based recognition systems was a key innovation area identified from patents. Steelcase's grant share as of July 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Improved occupancy sensing using motion sensor systems
The granted patent US12050303B1 outlines a method for operating a motion sensor system designed to detect human occupancy in a defined space. The method begins by acquiring a baseline signal from the motion sensor when the space is unoccupied. It then collects a time-dependent motion signal over a predetermined duration. This signal is processed using a human-like motion analysis algorithm that differentiates between various human movement patterns based on prior occupancy data. If the algorithm identifies motion consistent with a human movement pattern, it generates an occupancy signal indicating that the space is occupied. The algorithm may incorporate frequency analysis, narrow bandpass filtering, and transformations into frequency-domain signals to enhance accuracy.
Additionally, the patent describes the motion sensor system, which includes a motion sensor, a processor, and memory for executing the method. The system can utilize various types of motion sensors, such as infrared sensors, and is designed to provide extensive coverage of the monitored area. It may also employ low-energy or wireless communication protocols for data transmission. The algorithm is adaptable, allowing it to self-adjust over time based on feedback from previous occupancy determinations. The system can recognize different human movement patterns, including those associated with entering or remaining in the space, and takes into account the size of the area being monitored.
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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.
