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 online work management system provides a marketplace for multiple job owner and workers. The job owners provide a job description that defines task. The job description may be processed to generate task descriptions that may be published for workers' application. The task descriptions specify the qualification or restrictions for workers to have the task assigned. The online work management system also provides various functions supporting coordination and management of task assignment such as determining the trust level of the user's identity, search the tasks or workers, monitoring the progress of job, managing payment to workers, training and testing the workers, evaluating the review by the job owners, and generation of surveys.

Abstract: An online work management system provides a marketplace for multiple job owner and workers. The job owners provide a job description that defines task. The job description may be processed to generate task descriptions that may be published for workers' application. The task descriptions specify the qualification or restrictions for workers to have the task assigned. The online work management system also provides various functions supporting coordination and management of task assignment such as determining the trust level of the user's identity, search the tasks or workers, monitoring the progress of job, managing payment to workers, training and testing the workers, evaluating the review by the job owners, and generation of surveys.

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). In one particular embodiment, the mixed media document may also include hotspot images that uniquely identify a user associated with the mixed media document. Such individualized mixed media documents are used to identify users of the mixed media document, when orders for products or services are made using the mixed media documents through the MMR system.

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). In one embodiment, an MMR document is retrieved based on recognition of a paper document. Responsive to the comparison of the paper document and the virtual multimedia document, an action is performed. For example, the media of the matching MMR document can be displayed, or an action associated with the matching MMR document can be performed.

Abstract: A Mixed Media Reality (MMR) system 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). In one particular embodiment, the MMR system includes an MMR user, a MMR computer, a user printer that produces a printed document, a networked media server, a service provider server and a capture device. The MMR system of the present invention provides mechanisms for forming a mixed 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. The MMR system includes a MMR brokerage network having a customer, an MMR broker, an MMR service bureau and an MMR clearinghouse.

Abstract: According to a computer-implemented approach for renting items to customers, customers specify what items to rent using item selection criteria separate from deciding when to receive the specified items. According to the approach, customers provide item selection criteria to a provider. The provider provides the items indicated by the item selection criteria to customer over a delivery channel. The provider may be either centralized or distributed depending upon the requirements of a particular application. Each item is assigned a specific value, such as a number of points. A “SIMULTANEOUS-VALUE” method allows users to rent items up to a limit such that the total value assigned to the items currently provided does not exceed some limit, possibly also with a maximum number of exchanges. A “TIME LIMIT-VALUE” method accrues a value each time an item is provided, and allows exchanges to occur up to the value limit during a specified period of time, possibly also with a maximum number of exchanges.

Abstract: An apparatus and method are provided for substantially avoiding the inadvertent disconnection or dislodgment of an electrically powered device, such as a computer or television set or vacuum cleaner, from a source of electrical power. The apparatus includes an electrical male plug that has prongs configured to increase the tension between the electrical male plug and the sockets of an electrical power outlet, or an electrical female plug that has female contacts disposed in sockets and configured to increase the tension between female contacts and the male contacts of the electrically powered device. The apparatus and method alternatively provide an adapter having an increased tension electrical male plug at one end and a standard electrical female receptacle at a second end, and a mechanism that locks a standard electrical male plug to the standard electrical female receptacle of the adapter.