Closed loop feedback interface for wearable devices
Inventors
Wagner, Guy • Langer, Leeor • Dahan, Asher
Assignees
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Abstract
A gesture controlled system wearable by a user and operationally connected to a computerized device, the system comprising: at least one bio-potential sensor; at least one motion sensor; at least one haptic feedback actuator capable of creating haptic feedback corresponding to signals from the computerized device; a memory module, having a database with known records representing different gestures and a gesture prediction model; a signal processor, capable of identifying signal parameters from the sensors as known gestures; and a communication controller capable of transmitting information from the signal processor to the computerized device, wherein the at least one bio-potential sensor and the at least one feedback actuator are in direct contact with the skin of the user, wherein identified signals from the signal processor are transmitted to the computerized device, and wherein the at least one haptic feedback actuator is configured to allow reading text from the computerized device.
Core Innovation
The disclosed invention relates to a gesture controlled system wearable by a user and operationally connected to a computerized device. The system includes at least one bio-potential sensor and at least one motion sensor capable of detecting movement, and at least one haptic feedback actuator capable of creating haptic feedback corresponding to signals from the computerized device.
A memory module includes a database with known records representing different gestures and a gesture prediction model. A signal processor identifies signal parameters from the bio-potential sensor and the motion sensor as known gestures from the database according to the gesture prediction model, and the identified signals are transmitted to the computerized device through a communication controller.
The bio-potential sensor and the haptic feedback actuator are in direct contact with the skin of the user. The haptic feedback actuator is configured to allow reading text from the computerized device, with conversion of the text into different haptic feedback corresponding to specific letters, words and predetermined data types.
Claims Coverage
The patent document excerpt includes two independent claims, each defining a gesture controlled wearable system that uses skin-contact bio-potential sensing and motion sensing to identify known gestures via a gesture prediction model and gesture database, and to provide skin-contact haptic feedback configured for reading text as letter, word, and predetermined data type haptics.
Wearable skin-contact gesture sensing with direct actuator contact
The at least one bio-potential sensor and the at least one haptic feedback actuator are in direct contact with the skin of the user.
Gesture database and gesture prediction model
A memory module having a database with known records representing different gestures and a gesture prediction model.
Signal processor identifying known gestures from bio-potential and motion parameters
A signal processor capable of identifying signal parameters from the at least one bio-potential sensor and the at least one motion sensor as known gestures from the database according to the gesture prediction model.
Communication to a computerized device
A communication controller capable of transmitting information from the signal processor to the computerized device.
Haptic reading of text via conversion to letter, word, and predetermined data type haptics
The at least one haptic feedback actuator is configured to allow reading text from the computerized device, with conversion of the text into different haptic feedback corresponding to specific letters, words and predetermined data types.
Processing at the computerized device for known-gesture identification
The processing of the signal from the sensors is carried out at the signal processor of the computerized device, wherein the system includes a memory module with a database with known and labeled gestures and a gesture prediction model.
The independent claims collectively require wearable gesture recognition using skin-contact bio-potential and motion sensing, identification of known gestures using a gesture database and gesture prediction model, communication to a computerized device, and skin-contact haptic actuation that enables reading text by converting text to haptic feedback for specific letters, words, and predetermined data types, with one independent claim specifying that sensor-signal processing occurs at the computerized device.
Stated Advantages
Allows reading text from the computerized device using haptic feedback corresponding to specific letters, words, and predetermined data types.
Documented Applications
Gesture control for a wearable system that provides tactile haptic feedback to enable reading text from a computerized device.
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