Abstract: A system collects information associated with the work performance and work satisfaction of caregiver's who provide in-home care services to seniors. A machine learning system is trained to predict caregiver attrition and generate a user interface display indicative of a risk an individual caregiver will attrit. The system may also be used to determine action steps to reduce the risk of attrition of a caregiver.

Abstract: The present disclosure describes a conversation facilitation system for facilitating conversation-based social interactions to improve senior health, one or more operations and functions being efficiently achieved via this system comprise: receiving a dialog act of a conversation, applying natural language understanding (NLU) processing on the dialog act, computing a conversation metric, and generating a result of the conversation to conclude the conversation based on the conversation metric.

Abstract: The in-home care of seniors is augmented using Internet of Things (IOT) technologies. In-home sensors monitor a senior and their caregiver. Physical conditions and psychological conditions may be monitored. In some implementations, a machine learning system has a classifier trained to detect a specified condition, such as depression. The system may perform various transformations of raw sensor data into a format indicative of a particular condition. In one implementation, a psychological or medical condition has symptoms in which each symptom has one or more measurable events. Mappings between symptoms, events, sensor data, and sensor transformation functions may be supported.

Abstract: The present disclosure describes a system to use conversation data of patients to detect dangerous mental or physical conditions, such as suicidal thoughts, physical abuse, recent falls, and viral infection. A machine learning system may be trained to identify a dangerous mental or physical condition from conversations based on examples of patients evaluated to have a specific mental or physical condition. Conversations of patients may be monitored, natural language understanding (NLU) processing performed, and a machine learning system used to detect dangerous mental or physical conditions.

Abstract: A machine learning system passively monitors sensor data from the living space of a patient. The sensor data may include audio data. Audio features are generated. A trained machine learning model is used to detect a change in condition. In some implementations, the machine learning model is trained in a learning phase based on training data that includes questionnaires completed by caregivers and identified audio features.

Abstract: The present disclosure describes a conversation facilitation system for facilitating conversation-based social interactions to improve senior health, one or more operations and functions being efficiently achieved via this system comprise: receiving a dialog act of a conversation, applying natural language understanding (NLU) processing on the dialog act, computing a conversation metric, and generating a result of the conversation to conclude the conversation based on the conversation metric.

Abstract: The in-home care of seniors is augmented using Internet of Things (IOT) technologies. In-home sensors monitor a senior and their caregiver. Physical conditions and psychological conditions may be monitored. In some implementations, a machine learning system has a classifier trained to detect a specified condition, such as depression. The system may perform various transformations of raw sensor data into a format indicative of a particular condition. In one implementation, a psychological or medical condition has symptoms in which each symptom has one or more measurable events. Mappings between symptoms, events, sensor data, and sensor transformation functions may be supported.

Abstract: The present disclosure describes a system to use conversation data of patients to detect dangerous mental or physical conditions, such as suicidal thoughts, physical abuse, recent falls, and viral infection. A machine learning system may be trained to identify a dangerous mental or physical condition from conversations based on examples of patients evaluated to have a specific mental or physical condition. Conversations of patients may be monitored, natural language understanding (NLU) processing performed, and a machine learning system used to detect dangerous mental or physical conditions.

Abstract: A machine learning system passively monitors sensor data from the living space of a patient. The sensor data may include audio data. Audio features are generated. A trained machine learning model is used to detect a change in condition. In some implementations, the machine learning model is trained in a learning phase based on training data that includes questionnaires completed by caregivers and identified audio features.

Abstract: A system collects information associated with the work performance and work satisfaction of caregiver's who provide in-home care services to seniors. A machine learning system is trained to predict caregiver attrition and generate a user interface display indicative of a risk an individual caregiver will attrit. The system may also be used to determine action steps to reduce the risk of attrition of a caregiver.

Abstract: The present disclosure describes a conversation facilitation system for facilitating conversation-based social interactions to improve senior health, one or more operations and functions being efficiently achieved via this system comprise: receiving a dialog act of a conversation, applying natural language understanding (NLU) processing on the dialog act, computing a conversation metric, and generating a result of the conversation to conclude the conversation based on the conversation metric.

Abstract: An individual antenna element is described. In one embodiment, the individual antenna element is a patch antenna which has an electrically small radiating element with a U-shaped slot on an antenna substrate, with a gain greater than 2 dBi with +/?45 degree coverage.

Abstract: A battery charger for charging a battery is disclosed. In one embodiment, the battery charger comprises an input for receiving a first voltage and for coupling to a positive terminal of the battery; a first transistor having a first gate, a first drain and a first source, wherein the first gate is for coupling to a charging signal for the battery and the first drain is coupled to the battery negative terminal and, the first transistor to cause energy to be transferred from the input into the battery when turned on; and a group of transistors coupled to the first transistor and the input to control when the first transistor is turned on, wherein the group of transistors comprises a second transistor having a second gate coupled to the input and coupled to a third transistor to turn off the third transistor after a delay occurs after the voltage on the input reaches a predetermined level, and further herein the third transistor causes the first transistor to turn on when the third transistor is turned off.

Abstract: A reconfigurable array antenna and system for including the same are described. In one embodiment, the antenna apparatus comprises a feeding network and an array coupled to the feeding network, wherein the array has a plurality of locations, with each location capable of having an antenna element attached thereto, and wherein the feeding network is operable to combine energy received by antenna elements in the array, and the energy is combined by the feeding network in RF.

Abstract: A DC-DC boost converter and apparatus including the same are disclosed. In one embodiment, the DC-DC converter comprises an input for receiving a first voltage at a first level, where the first voltage is negative; a transformer coupled to the input to convert the first voltage to a second voltage at a second level, where the second level is higher than the first level and the second voltage is positive; and an output connected to the transformer to output the second voltage.

Abstract: A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and/or web link as a second medium). The present invention provides systems, methods, and computer program products for modifying documents for shared use, and for collaborative discussion of shared documents. Captured digital images of documents or portions associated with a user are received, along with modifications to the images. Documents are recognized from the captured digital images, and the modifications to the images are applied to the documents. Alternatively, captured digital images of documents are received, and the documents are recognized along with a hotspot in the document. The user is authenticated to a website associated with the hotspot, and is provided access to an associated multimedia repository.

Abstract: A network sensor system and method for using the same are disclosed herein. In one embodiment, the network sensor system comprises: a radio-frequency (RF) emitter; a first sensor tag including a transmitter, an energy harvesting unit operable to convert incident RF energy to direct current (DC) including RF energy from the RF emitter and RF energy from one or more ambient sources, a storage unit operable to store recovered DC power, one or more sensors for sensing and logging data, a controller coupled to the energy harvesting and storage units, the one or more sensors and the transmitter, to communicate data in the form of a Bluetooth Low Energy (BLE) advertising packet using energy previously harvested and stored by the energy harvesting and storage unit; and a first device to receive the BLE advertising packet.

Abstract: A method, system and tag for low power radio frequency communication is described. In one embodiment, the RF tag comprises: an energy harvesting unit operable to convert incident RF energy to direct current (DC); a storage unit operable to store recovered DC power; one or more sensors for sensing; a backscatter communicator to backscatter energy to communicate; and a microcontroller coupled to the energy harvesting and storage units, the one or more sensors, and the backscatter communicator, the microcontroller operable to wake up from a sleep state and cause the radio to communicate sensed data from at least one of the one or more sensors while powered by energy previously harvested and stored by the energy harvesting and storage unit.

Abstract: A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and/or web link as a second medium). The MMR system provides mechanisms for forming a media document that includes media of at least two types, such as printed paper as a first medium and a digital photograph, digital movie, digital audio file, or web link as a second medium. Furthermore, the MMR system facilitates business methods that take advantage of the combination of a portable electronic device, such as a cellular camera phone, and a paper document.

Abstract: A context-aware targeted information delivery system comprises a mobile device, an MMR matching unit, a plurality of databases for user profiles, user context and advertising information, a plurality of comparison engines and a plurality of weight adjusters. The mobile device is coupled to deliver an image patch to the MMR matching unit which in turn performs recognition to produce recognize text. The recognized text is provided to a first and second comparison engines to produce relevant topics and relevant ads. The relevant topics and relevant ads are adjusted with information from a user context database including information such as location, date, time, and other information from a user profile. The third comparison engine compares the relevant topics and relevant ads to produce a set of final ads that are most related to the topics of interest for the user and delivered for display on to the mobile device.