20240054065. BEHAVIORAL SENSOR FOR CREATING CONSUMABLE EVENTS simplified abstract (Arm Limited)

BEHAVIORAL SENSOR FOR CREATING CONSUMABLE EVENTS

Organization Name

Arm Limited

Inventor(s)

Brendan James Moran of Histon (GB)

Hugo John Martin Vincent of Cambridge (GB)

Michael Bartling of Austin TX (US)

BEHAVIORAL SENSOR FOR CREATING CONSUMABLE EVENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240054065 titled 'BEHAVIORAL SENSOR FOR CREATING CONSUMABLE EVENTS

Simplified Explanation

The abstract describes a behavioral sensor for creating consumable events, which includes a feature extractor and a classifier to identify and classify events performed by a circuit into predefined categories based on their features and time.

• Feature extractor receives an event stream and identifies features of a particular event, associating it with a time.
• Classifier receives features of the particular event from the feature extractor and classifies it into a predefined category based on the features.
• Classified events extracted from the event stream within a time frame are appended in a time series to form consumable events.

---

1. 1. 1. Potential Applications

• Behavioral analysis in various fields such as healthcare, security, and marketing.
• Monitoring and optimizing performance in industrial processes.
• Enhancing user experience in interactive systems.

1. 1. 1. Problems Solved

• Efficiently categorizing and analyzing events in real-time.
• Providing insights into patterns and trends within event data.
• Automating event classification and analysis processes.

1. 1. 1. Benefits

• Real-time monitoring and analysis of events.
• Improved decision-making based on categorized event data.
• Enhanced efficiency and accuracy in event processing.

Original Abstract Submitted

a behavioral sensor for creating consumable events can include: a feature extractor coupled to receive an event stream of events performed by a circuit, wherein the feature extractor identifies features of a particular event of the event stream and associates the particular event with a time; and a classifier coupled to receive the features of the particular event from the feature extractor, wherein the classifier classifies the particular event into a classified event associated with the time using predefined categories based on the received features of the particular event; whereby the classified event and subsequent classified events extracted from the event stream within a time frame are appended in a time series forming the consumable events.