G08B21/0423

Alert systems for senior living engagement and care support platforms

Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Patient position monitoring and warning system for detecting bodily movements and preventing falls
11688262 · 2023-06-27 ·

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.

AUGMENTED REALITY SYSTEM FOR GUARDS OF CONTROLLED ENVIRONMENT RESIDENTS
20220383232 · 2022-12-01 · ·

The present disclosure provides details of a system and method for a communication device for guards in a controlled environment. The communication device is established based on a wireless infrastructure in the controlled environment, receiving wireless positioning signals to calculate and determine the real-time location of personnel carrying the device. The indoor wireless positioning can be combined with other available positioning methods to provide highly accurate positioning information of the personnel. The communication device detects and records activities of the personnel during a period of time, and is controlled by the control center. The status of personnel is monitored by control center. Meanwhile, the communication device has AR functions that allow physical objects and augmented reality element to be displayed to the personnel at the same time. The personnel can thus have improved awareness of the surrounding environment and can respond to various potential dangers more effectively.

INTEGRATED HANGER BEARING MONITOR

An integrated hanger bearing monitor is provided for reducing installation time and added weight that includes a sensor and an interconnect on a mounting bracket that is sized and configured to be attached to a hanger bearing mounting bracket via connectors that mount the hanger bearing mounting bracket to the helicopter.

Providing electronic content based on sensor data

Techniques are described for using sensor data derived from a monitoring system to drive personalized content. Sensor data captured by a monitoring system may be used to determine attributes of users of the monitoring system and/or attributes of a property monitored by the monitoring system. The determined attributes may be used to select content to present to users of the monitoring system. Content presentation may be made through the monitoring system and may be triggered based on events detected by the monitoring system.

Sensor system
09830795 · 2017-11-28 · ·

A multi-sensory sensor comprises at least a first and a second sensor element, wherein the multi-sensory sensor is adapted for attachment to a movable structure in a building. The multi-sensory sensor is operatively associated with a controller that is configured to receive input from said first sensor element, wherein the input is indicative of a movement of the movable structure. The controller is further configured to receive input from the second sensor element, and indirectly identify a human behavioral action in the building based on a combination of the input from the first sensor element and the input from the second sensor element. It is further configured to determine a function to be taken based on the identified action, and cause the function to be taken to be executed. In one embodiment the first sensor is a movement sensor element for sensing a movement and the second sensor element is an audio sensor element for sensing audio.

Notifications on a User Device Based on Activity Detected by an Activity Monitoring Device
20230177941 · 2023-06-08 ·

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Sensing peripheral heuristic evidence, reinforcement, and engagement system

Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

SENSING PERIPHERAL HEURISTIC EVIDENCE, REINFORCEMENT, AND ENGAGEMENT SYSTEM

Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

DYNAMIC SELECTION AND MODIFICATION OF TRACKING DEVICE BEHAVIOR MODELS
20220349977 · 2022-11-03 ·

A tracking device broadcasts beacon signals that are separated in time by broadcast intervals. The tracking device determines the broadcast intervals based on a behavior model. The behavior model specifies one or more conditions, such as times of day within a 24-hour day, and associates a usage probability with each condition. A higher usage probability causes the tracking device to broadcast beacon signals at shorter broadcast intervals. A mobile device in communication with the tracking device can reconfigure the behavior model, either by modifying portions of the behavior model or by replacing the behavior model with a different behavior model. This allows the behavior model to adapt to different circumstances, such as different usage patterns during weekdays, weekends, and vacations.