{
  "patent_number": "US RE46310",
  "country": "US",
  "title": "How Devices Predict Your Next Move Using Gestures and History",
  "original_title": "USRE46310E1 - Ergonomic man-machine interface incorporating adaptive pattern recognition based control system",
  "summary": "A patent for a smart interface that tracks your physical gestures and past habits to predict what you want to do next, showing custom options on a screen to save you time.",
  "what_it_does": "The patent describes a control system that combines two types of user data to predict actions. First, it tracks path-dependent inputs, which are physical motion gestures that change over time, such as a swipe or hand wave. Second, it tracks path-independent inputs, which are static choices or settings. A controller processes these inputs alongside stored historical data of the user's past activities. It then calculates the most likely action the user wants to perform and displays a tailored sequence of programming options on a screen. For example, if a user performs a specific hand gesture while a certain TV show is broadcasting, the system recognizes the gesture, recalls the user's past viewing habits at that hour, and automatically displays a prompt to record the show.",
  "what_it_does_not_cover": [
    "Does not cover systems that respond to physical gestures with fixed, hardcoded actions instead of predicting the user's intent based on past behavior history.",
    "Does not cover interfaces that rely solely on static button presses or text inputs without tracking any time-dependent motion gestures.",
    "Does not cover predictive systems that execute actions silently in the background without presenting a sequence of selectable programming options on a display."
  ],
  "filed": "2009-02-13",
  "granted": "2017-02-14",
  "expires": null,
  "status": "active",
  "holder": "Blanding Hovenweep LLC",
  "holder_url": "https://patentbrief.org/company/blanding-hovenweep-llc",
  "inventors": [
    {
      "name": "Steven M. Hoffberg",
      "url": "https://patentbrief.org/inventor/steven-m-hoffberg"
    },
    {
      "name": "Linda I. Hoffberg-Borghesani",
      "url": "https://patentbrief.org/inventor/linda-i-hoffberg-borghesani"
    }
  ],
  "times_cited": 34,
  "tags": [
    "consumer_electronics",
    "software",
    "automotive",
    "ai_ml"
  ],
  "abstract": "An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.",
  "url": "https://patentbrief.org/patent/us/RE46310/google-drive",
  "markdown_url": "https://patentbrief.org/patent/us/RE46310/google-drive/md",
  "google_patents_url": "https://patents.google.com/patent/USRE46310",
  "relatedPatents": []
}