Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may movements associated with the tonic or clonic phases of a seizure. A detection zone is used to monitor the individual via the one or more 3D cameras. As the individual moves, the detection zone is automatically adjusted such that zone remains around the person. Detected body position and/or movements, including rate of movement and duration of movement, consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: Systems and methods are provided that allow caregivers, central monitoring services, and other persons to monitor whether a monitored individual's hands have entered into an area in which the hands are prohibited, such as areas in which the monitored individual may remove or disturb a piece of medical equipment. When the monitored individual's hands do enter the restricted area that is represented by an electronic virtual safety zone, an alert is generated and transmitted to a designated recipient.

Abstract: A system and method that allows caregivers, central monitoring companies, and other persons to monitor disabled, elderly, or other high-risk individuals and obtain automatic notification of falls by such an individual, including, but not limited to, falls that require assistance. One or more 3D motion and sound sensors can be placed in the monitored individual's room and provide continuous data which is analyzed to determine when the individual has fallen.

Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may detect rigidity and/or rapid movements associated with the tonic or clonic phases of a seizure. Body position and/or movements consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. Two systems are used to identify patients, a skeletal tracking system, which identifies patients by biometric indicators, and a virtual blob detection system. In the virtual blob system, the monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time. These systems may be used concurrently, or one system may be used primarily, with the other system acting as a failsafe.

Abstract: A system and method that allows caregivers, central monitoring companies and other persons to monitor disabled, elderly or other high-risk individuals and obtain automatic notification of falls by such an individual, including, but not limited to, falls that require assistance. One or more 3D motion and sound sensors can be placed in the monitored individual's room and provide continuous data which is analyze to determine when the individual has fallen.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. The monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time.

Abstract: A system and method that allows caregivers, central monitoring services, and other persons to monitor whether a monitored individual's hand(s) have entered into an area where the caregiver has determined the monitored individual's hand(s) should not be, such as where the monitored individual may remove or disturb a piece of medical equipment. Where the monitored individual's hand(s) do enter the restricted area that is represented by an electronic virtual safety zone, an alert can be generated by the system and method.

Abstract: A method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

Abstract: A system and method that caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting the system and method determine whether an individual who has entered the room of a patient has wash his or her hands prior to approaching the patient.

Abstract: A method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored, which are used to track the individual's movement. When the monitoring system detects that the individual has fallen or gestured for assistance, a computerized communication system alerts the individual, a caregiver, or other designated person.

Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may detect rigidity and/or rapid movements associated with the tonic or clonic phases of a seizure. Body position and/or movements consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required.

Abstract: A prohibited object detection system detects prohibited objects in a patient room. An image of an object detected in a room of a patient is initially collected. The system identifies reference points on the object, for example, points along the contours of the object. The system may compare the reference points to reference points of images associated with prohibited objects. The system then determines, based on the comparison, if the object is a prohibited object. One or more designated recipients may be alerted if the object is a prohibited object. The system may also register the object in a database of prohibited objects.

Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: A system and method that caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting the system and method determine whether an individual who has entered the room of a patient has wash his or her hands prior to approaching the patient. A live video feed from the monitored rooms can be displayed on a centralized monitoring primary display which can be located remote to the monitored rooms. When it is determined that an individual in a specific room from the monitored rooms is approaching a patient and has not washed his or her hands an alert, notification and/or a live video feed for the specific room can be displayed on a centralized monitoring alert display which can also be preferably located remote to the monitored rooms.

Abstract: A method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. Two systems are used to identify patients, a skeletal tracking system, which identifies patients by biometric indicators, and a virtual blob detection system. In the virtual blob system, the monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time. These systems may be used concurrently, or one system may be used primarily, with the other system acting as a failsafe.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required.