A non-invasive dental or surgical monitoring system is disclosed. The monitoring system is comprised generally of dental or surgical equipment to be monitored, a main sensor unit, a set of sensors. The main sensor unit is in communication with various sensors removably attached to the equipment. The sensors monitor environment conditions related to the equipment rather than directly monitoring the equipment. The collected data is sent to the main sensor unit and can be accessed, or wirelessly transmitted by signal to a device or devices at another location. As collected data aggregates, a data profile can be created, machine learning can be used to discover patterns, and predictive analysis can be incorporated to help software make predictions of, or spot in real time, equipment problems based on deviations from the profile.

One or more computing devices, systems, and/or methods for determining a time-length of an action are provided. For example, a first event may be detected. Responsive to detecting the first event, a first inquiry may be transmitted in a first direction, using a first device. The first inquiry may be received by a second device. Responsive to receiving the first inquiry, a first reply data packet, comprising an identification number associated with the second device, may be transmitted, using the second device, to the first device. A second event may be detected. Responsive to detecting the second event, a second inquiry may be transmitted in a second direction, using a third device. The second inquiry may be received by the second device. Responsive to receiving the second inquiry, a second reply data packet, comprising the identification number, may be transmitted, using the second device, to the third device.

An apparatus for controlling driving of a vehicle includes: an input device that receives an input signal corresponding to an operation of a driver; and a controller that sets a weight to a careless state of the driver based on a separation distance between the driver and the input device operated by the driver, a spaced angle, and a scheme of operating the input device, and calculates a braking application time point based on the weight.

A detection and reporting device for determining a usage event indicating a use of a piece of hygiene equipment, the detection and reporting device comprising a positioning section that allows determining positional information indicating a position of the detection and reporting device; a sensor section configured to sense over a time span an observable indicating a use of the piece of hygiene equipment and to generate usage event information on the basis of the sensed observable; and a reporting section configured to generate and transmit a message on the basis of said usage event information and on information allowing an association to said positional information.

The system is configured to locate, track and/or analyze activities of living beings in an environment. The system does not require the input of personal biometric data. The sensor system detects infrared (IR) energy from a living being moving in an environment, determines a temperature of the living being based on IR energy data of the IR energy, projects the temperature onto a grid having sequential pixels, determines serial changes of the temperature in the sequential pixels and determines a trajectory of the living being based on the serial changes of the temperature in the sequential pixels.

Techniques to detect a non-alert state of a user may include receiving sensor data from an ear-worn electronic device worn by a user, automatically determining whether to initiate an alertness mode of the ear-worn electronic device based on the sensor data, and determining an alertness state of the user in response to determining to initiate the alertness mode.

A vehicle may include a steering angle sensor; and a controller configured to be electrically connected to the steering angle sensor. The controller may be configured to identify a change amount in a steering angular speed of the vehicle according to an output of the steering angle sensor, and to identify careless driving of a driver of the vehicle according to a first maximum change amount in which the steering angular speed changes in a first direction and a second maximum change amount in which the steering angular speed changes in a second direction.

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

A method for determining an operational state of a driver of a vehicle uses an awareness detection arrangement. The awareness detection arrangement includes at least a first and a second source for generating data relating to the behavior of the driver. The method includes receiving, from the first and the second source, data relating to at least one of physiological data of the driver, the operation of the vehicle, and a model of the driver operating the vehicle, comparing the data from the first and the second source with a driver state model defining a plurality of predefined driver states for each of the first and the second source, respectively, determining based on the comparison, for each of the first and the second source, a state probability for each of the plurality of predefined driver states, and weighing the determined driver states for the first and the second source with each other for determining an overall operational state probability for the driver.