Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

Abstract: A method for providing tactile feedback comprises displaying a visual representation of a physical object having at least one haptic property, generating time-varying data associated with the at least one haptic property from the visual representation, sending the time-varying data to a computing device including a feedback apparatus electrically connected to the computing device, and generating the tactile feedback via the feedback apparatus in response to a pressure on the feedback apparatus applied by a user.

Abstract: A method for providing tactile feedback comprises displaying a visual representation of a physical object having at least one haptic property, generating time-varying data associated with the at least one haptic property from the visual representation, sending the time-varying data to a computing device including a feedback apparatus electrically connected to the computing device, and generating the tactile feedback via the feedback apparatus in response to a pressure on the feedback apparatus applied by a user.

Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

Abstract: A computer retrieves profile information of a participant of a multi-party communication. The computer identifies an original jargon included in the multi-party communication based, at least in part, on the profile information. The computer generates a translated jargon by translating the original translated jargon, wherein the translated jargon can be understood by the participant of the multi-party communication. The computer sends the translated jargon to the participant of the multi-party communication.

Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

Abstract: Systems and methods for providing tactile feedback. A method for providing tactile feedback, comprises extracting a plurality of features from a visual representation of a physical object, wherein the extracting is performed using at least one image processing technique, generating a variable frequency pattern corresponding to the extracted features, sending the variable frequency pattern to a computing device, and generating the tactile feedback via the computing device in response to a stimulation applied by a user, wherein the tactile feedback is based on the variable frequency pattern.

Abstract: A system and method that improves and enhances the customer's in-store shopping experience. The consumer product of purchase interest or intent to buy expresses (or self-announces via technology) it's match (or fit based on known or understood buying habits, customer taste, tendencies, etc) against the customer preferences during an in-store shopping experience.

Abstract: Systems and methods for providing tactile feedback. A method for providing tactile feedback, comprises extracting a plurality of features from a visual representation of a physical object, wherein the extracting is performed using at least one image processing technique, generating a variable frequency pattern corresponding to the extracted features, sending the variable frequency pattern to a computing device, and generating the tactile feedback via the computing device in response to a stimulation applied by a user, wherein the tactile feedback is based on the variable frequency pattern.

Abstract: A method that improves and enhances the customer's in-store shopping experience. The consumer product of purchase interest or intent to buy expresses (or self-announces via technology) it's match (or fit based on known or understood buying habits, customer taste, tendencies, etc) against the customer preferences during an in-store shopping experience.

Abstract: Controlling haptic feedback in a mobile communication device is provided. Metadata associated with a set of objects within requested content is parsed to identify each object within the requested content having an associated frequency pattern included in the metadata. The requested content is displayed in a display device. A touch input is received on the display device at a location of an identified object that has an associated frequency pattern within the requested content. A frequency and a duration of a vibration generated by a variable frequency vibration device simulating a tactile texture of the identified object touched within the requested content is controlled using the associated frequency pattern of the identified object.

Abstract: Methods and apparatus are provided for matching audio advertisements to items on a shopping list in a mobile device. Audio advertisements are matched to items on a shopping list by obtaining the shopping list from a mobile device of the user; applying a speech recognizer to at least one audio advertisement detected on a microphone of the mobile device; identifying one or more key words in the at least one audio advertisement; comparing the one or more identified key words to one or more items on the shopping list stored on the mobile device; and storing the information related to the at least one advertisement if the one or more identified key words match the one or more items.

Abstract: A smart home environment shopping system. One or more inventory needs lists are received from one or more respective smart appliances. Sources for available inventory items on the received inventory needs lists are identified, based on pre-defined rules. In another aspect of the invention, the available items are displayed to a user, and one or more inputs indicating inventory items to purchase are received. In a further aspect, associated metadata for one or more of the available items is displayed, the metadata including one or more of: price, discounts, quality, brand, flavor, user reviews, and advertisements. In a further aspect, one or more optimal travel routes connecting all identified sources of the available inventory items on the received inventory needs lists are determined.

Abstract: A smart home environment shopping system. One or more inventory needs lists are received from one or more respective smart appliances. Sources for available inventory items on the received inventory needs lists are identified, based on pre-defined rules. In another aspect of the invention, the available items are displayed to a user, and one or more inputs indicating inventory items to purchase are received. In a further aspect, associated metadata for one or more of the available items is displayed, the metadata including one or more of: price, discounts, quality, brand, flavor, user reviews, and advertisements. In a further aspect, one or more optimal travel routes connecting all identified sources of the available inventory items on the received inventory needs lists are determined.

Abstract: According to one aspect of the present disclosure, a method and technique for enabling wireless communications for multiple numbers or subscriber identities using a single transceiver is disclosed. The method includes, for a terminal device including a transceiver for wireless communications, determining whether the terminal device supports a plurality of subscriber identities. The method also includes, responsive to determining that the terminal device supports a plurality of subscriber identities, creating a plurality of recurrent time slots for a communication channel of the terminal device, allocating for each subscriber identity a respective time slot, and enabling wireless communications for the plurality of subscriber identities using the respective time slots via the transceiver.

Abstract: Customer traffic flow in a retail store is managed to reduce congestion in the aisles. A processor receives individual shopping lists from customer's handheld devices as they enter the store. The processor may augment the lists with cross-sell items and up-sell items based on customer profile data and projected congestion near the cross-sell and up-sell items. The processor computes an optimized path for each customer to minimize congestion and provides the path as a recommendation to each customer via their handheld device.

Abstract: A method that improves and enhances the customer's in-store shopping experience. The consumer product of purchase interest or intent to buy expresses (or self-announces via technology) it's match (or fit based on known or understood buying habits, customer taste, tendencies, etc) against the customer preferences during an in-store shopping experience.

Abstract: A method for providing tactile feedback comprises displaying a visual representation of a physical object having at least one haptic property, generating time-varying data associated with the at least one haptic property from the visual representation, sending the time-varying data to a computing device including a feedback apparatus electrically connected to the computing device, and generating the tactile feedback via the feedback apparatus in response to a pressure on the feedback apparatus applied by a user.