{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854050","patent":{"patent_number":"US-9854050","title":"Providing electronic content based on sensor data","assignee":null,"inventors":[],"filing_date":"2016-11-21T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06Q","H04L","G06Q","G06Q"],"num_claims":20,"abstract":"Techniques are described for using sensor data derived from a monitoring system to drive personalized content. Sensor data captured by a monitoring system may be used to determine attributes of users of the monitoring system and/or attributes of a property monitored by the monitoring system. The determined attributes may be used to select content to present to users of the monitoring system. Content presentation may be made through the monitoring system and may be triggered based on events detected by the monitoring system."},"analysis":{"summary":"The patent for Providing Electronic Content Based on Sensor Data describes a system and method for delivering personalized electronic content based on real-time sensor data. The core innovation lies in using sensor data, collected from various sources, to determine attributes of users or properties being monitored. This approach solves the problem of irrelevant and generic content delivery by tailoring the content to the user's specific context and needs. \n\nThe system utilizes a multi-module architecture, including a sensor data collection module, an attribute determination module, a content selection module, and a content presentation module. The sensor data collection module gathers data from various sources, such as wearable devices, environmental sensors, and social media activity. The attribute determination module analyzes this data to identify relevant attributes of the user or property being monitored. The content selection module uses these attributes to select the most appropriate content from a content library. Finally, the content presentation module delivers the selected content to the user through a suitable interface. \n\nThe business value of this technology lies in its ability to enhance user engagement, improve content relevance, and create new revenue opportunities. By delivering personalized content, the system can increase user satisfaction and loyalty. The market opportunity is vast, spanning industries such as healthcare, education, entertainment, and security. \n\nOverall, this patent represents a significant advancement in the field of content delivery, offering a more adaptive and responsive approach to engaging users. By leveraging real-time sensor data, this technology has the potential to transform how we interact with technology in our daily lives.","layman_explanation":"The patent for Providing Electronic Content Based on Sensor Data addresses the problem of delivering irrelevant and generic content to users. In today's digital world, we are constantly bombarded with information, but much of it is not relevant to our specific needs or interests. Existing solutions often rely on static user profiles and predefined rules, which can result in a one-size-fits-all approach to content delivery. \n\nThis patent offers a solution by leveraging real-time sensor data to personalize content dynamically. Imagine a smart home system that adjusts lighting, temperature, and entertainment options based on your current mood and activity level. Or a fitness app that provides personalized workout recommendations based on your heart rate and activity data. This technology makes that possible.\n\nThe core idea is simple: use sensors to gather data about the user and their environment, then use that data to select and deliver content that is most relevant to their current context. This approach has several advantages over traditional content delivery methods. First, it is more personalized, as the content is tailored to the individual user's needs and interests. Second, it is more dynamic, as the content can adapt to changing conditions in real-time. Third, it is more proactive, as the system can anticipate the user's needs and deliver relevant content before they even realize they need it. \n\nThe market impact of this technology could be significant. The ability to deliver personalized content can lead to increased user engagement, improved customer loyalty, and new revenue opportunities. The potential applications for this innovation are vast, spanning industries such as healthcare, education, entertainment, and smart homes. As sensor technology becomes more prevalent and the demand for personalized experiences continues to grow, this patent is well-positioned to capitalize on this trend. The future of content is personalized, dynamic, and driven by real-time data. The investment implications are positive, as this technology has the potential to generate significant returns for investors who are willing to take a long-term view.","technical_analysis":"The patent for Providing Electronic Content Based on Sensor Data details a system that dynamically adjusts electronic content based on real-time data gathered from sensors. This technology hinges on the integration of several key modules: a sensor data collection module, an attribute determination module, a content selection module, and a content presentation module. The sensor data collection module is responsible for gathering data from a variety of sensors, which can include wearable devices, environmental sensors, and even social media feeds. This raw data is then pre-processed and fed into the attribute determination module. \n\nThe attribute determination module employs algorithms to analyze the sensor data and extract relevant attributes about the user or the environment being monitored. These attributes can include physiological data (heart rate, blood pressure), location data, environmental conditions (temperature, humidity), and even behavioral patterns. The specific algorithms used in this module are crucial for the accuracy and effectiveness of the system. Machine learning techniques, such as neural networks or decision trees, could be employed to identify complex relationships between sensor data and user attributes. \n\nOnce the attributes are determined, they are passed to the content selection module. This module uses a content library and a set of rules to select the most appropriate content to present to the user. The content library can include a variety of media formats, such as text, images, audio, and video. The selection rules are designed to match the user's attributes with the content that is most likely to be relevant and engaging. \n\nThe content presentation module is responsible for delivering the selected content to the user through a suitable interface. This interface can be a mobile app, a web browser, a smart home display, or any other device capable of displaying electronic content. The presentation module may also include features for adapting the content to the specific device and user preferences. \n\nFrom an implementation perspective, this technology requires careful consideration of data privacy and security. The system must be designed to protect sensitive user data from unauthorized access and misuse. This can be achieved through encryption, access control, and other security measures. Additionally, the system must be scalable and reliable to handle large volumes of sensor data and a high number of users. Cloud-based infrastructure and distributed computing techniques can be employed to meet these requirements.","business_analysis":"The patent for Providing Electronic Content Based on Sensor Data presents a significant market opportunity in the rapidly growing field of personalized content delivery. The increasing availability of sensor data, coupled with the growing demand for personalized experiences, is driving the need for innovative solutions like the one described in this patent. The market opportunity size is substantial, spanning across various industries, including healthcare, education, entertainment, and smart homes. \n\nIn the healthcare industry, this technology can be used to deliver personalized health tips, medication reminders, and remote patient monitoring. In the education sector, it can be used to create adaptive learning platforms that tailor content to the individual needs of each student. In the entertainment industry, it can be used to deliver personalized recommendations for movies, music, and other forms of entertainment. In the smart home environment, it can be used to automate tasks and create a more comfortable and convenient living experience. \n\nThe competitive advantages of this technology lie in its ability to leverage real-time sensor data to personalize content dynamically. Traditional content delivery systems rely on static user profiles and predefined rules, which often result in generic and ineffective content delivery. The system described in this patent can adapt to changing conditions and individual needs, providing a more engaging and relevant user experience. \n\nThe revenue potential for this technology is significant. The system can be monetized through various business models, including subscription fees, advertising revenue, and data licensing. The ROI projections are also promising, as the system can increase user engagement, improve customer loyalty, and generate new revenue streams. \n\nFrom a strategic positioning perspective, this technology is well-positioned to capitalize on the growing trend of personalized experiences. The company that owns this patent can establish itself as a leader in the field of personalized content delivery and gain a significant competitive advantage. However, careful consideration of privacy concerns and robust security measures will be essential to building trust and ensuring the long-term success of this innovation.","faqs":null,"topics":["sensor data content","personalized content","adaptive content","content personalization","IoT content delivery"],"tech_cluster":null},"seo":{"title":"Personalized Content via Sensors - Patent US-9854050","description":"Discover how Providing Electronic Content Based on Sensor Data personalizes content using real-time data. Full patent analysis, claims, and market impact.","keywords":["sensor data content","personalized content","adaptive content","content personalization","IoT content delivery","real-time content","patent","patent US-9854050"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854050","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854050","citation_suggestion":"Patentable. \"Providing electronic content based on sensor data\" (US-9854050). https://patentable.app/patents/US-9854050","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854050","json":"https://patentable.app/api/llm-context/US-9854050","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T21:12:57.544Z"}