In accordance with one embodiment of the present disclosure, a method includes generating a plurality of icons, wherein each icon has a target frequency unique from each other, receiving brain activity data based on an epoch, generating a reference signal based on the epoch, calculating correlation coefficients between the brain activity data and the reference signal, wherein the correlation coefficients are calculated in a window that is within ±0.5 Hz of the target frequencies, including endpoints, determining a confidence score based on the correlation coefficients and the epoch, and determining a selected icon among the plurality of icons based on the correlation coefficients in response to the confidence score surpassing a threshold confidence score.

A wearable, body position monitor and activity alert device, designed to protect patients with a compromised ability to stand or walk from their own impulses to stand up by delivering a personal audible message of “caution”, “persuasion”, “discouragement” and/or “direction” when detecting the initiation of a “signature body movement” that could lead to a dangerous fall. The objective is to prevent falls from happening by monitoring a person's movements using a 3D accelerometer sensor and/or a 3D gyroscope sensor. No caregiver assistance belts, tethers, or other restraints are needed. When the patient starts to stand up, the patient monitoring system simultaneously and wirelessly alerts a caregiver, who is wearing a Caregiver's Personal Alert Device (CPAD), of the patient's intent to stand. When alerted by the CPAD, the caregiver then intervenes before the patient falls.

A grossing station comprising a table and an overhead hood connected to the table. The grossing station further comprising a plurality of interchangeable plates arranged in a trough of the table and a lift system connected to the table. The grossing station also comprises a touch screen controller arranged on a surface of the station, wherein the touch screen controller is in communication with at least one manual toggle switch for overriding an electronic control and monitoring system if a system failure occurs within the grossing station.

A grossing station comprising a table and an overhead hood connected to the table. The grossing station further comprising a plurality of interchangeable plates arranged in a trough of the table and a lift system connected to the table. The grossing station also comprises a touch screen controller arranged on a surface of the station, wherein the touch screen controller is in communication with at least one manual toggle switch for overriding an electronic control and monitoring system if a system failure occurs within the grossing station.

A beehive system includes a processing system for monitoring and controlling a beehive. The beehive can include a bottom board, one or more boxes, and an outer cover. The one or more boxes can contain bees and bee materials, as well as various components and sensors for monitoring and controlling conditions in the beehive. The beehive can include one or more sensors for monitoring a corresponding one or more conditions inside the beehive, and one or more control elements for manipulating the one or more conditions inside the beehive.

A beehive system includes a processing system for monitoring and controlling a beehive. The beehive can include a bottom board, one or more boxes, and an outer cover. The one or more boxes can contain bees and bee materials, as well as various components and sensors for monitoring and controlling conditions in the beehive. The beehive can include one or more sensors for monitoring a corresponding one or more conditions inside the beehive, and one or more control elements for manipulating the one or more conditions inside the beehive.

In general, this disclosure is directed to techniques for generating, by a computing device, at approximately a time that a user is eating, at least one computer-generated indication. Based at least in part on the at least one computer-generated indication and pre-defined activity data that are indicative of a human consuming an ingestible substance, the computing device determines whether the user is currently consuming an ingestible substance. Responsive to determining that the user is currently consuming the ingestible substance, the computing device outputs a reminder to consume at least one particular ingestible substance, such as a medication.

A fall detection and alert system and associated methods are described. The system includes a right footwear item and a left footwear item, each of which includes foot pressure sensors, communications circuitry configured to transmit foot pressure signals from the pressure sensors to a mobile device, such as a smartphone, and a power source. The system also includes an application for the mobile device that causes the mobile device to receive transmitted foot pressure signals from the communications circuitry of the footwear, analyze the foot pressure signals to determine whether a wearer of the footwear items has fallen, display a warning if it is determined that the wearer of the footwear items has fallen, along with an option to cancel the warning, and send a signal to a caregiver if the warning has not been canceled within a predetermined period of time.

Systems and methods for providing real-time alerts to a user of a device in or near a potentially dangerous situation are disclosed. A computer-implemented method includes determining, by the mobile device, that a user is looking at the mobile device based on sensor data, determining, by the mobile device, an area of a likely accident event, and generating, by the mobile device, an alert based on the determining that the user is looking at the device and the determining the area of the likely accident event.

Provided are methods and systems for detecting a DoS attack when initiating a secure session. A method for detecting a DoS attack may commence with receiving, from a client, a request to initiate a secure session between the client and a server. The method may continue with sending a pre-generated key to the client. The method may further include establishing that the request from the client is suspected of the DoS attack. The establishment may be performed based on further actions associated with the client.