Hands-free assistive and preventive remote monitoring system

• US 9,361,778 B1
• Filed: 03/14/2014
• Issued: 06/07/2016
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Nonna Technologies, Inc.
• Original Assignee: Bruce S. Baumgarten
• Inventors: German, Gary
• Primary Examiner(s): Blount, Eric
• Application Number:
  US14/212,423
• Time in Patent Office: 816 Days
• Field of Search: 340/542, 340/573.1, 340/539.22, 109/38, 109/50, 600/301
• US Class Current: 1/1
• CPC Class Codes: G08B 21/0415 detecting absence of activity per se
• CPC Class Codes: G08B 21/0423 detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0492 Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence

Abstract

A computer-based method operate to monitor a state of a person in a living space or the state of the living space to optimize the monitored person'"'"'s well-being. The method includes arranging a plurality of sensors in predetermined positions within the living space for generating sensor data, connecting each of the sensors to a gateway node in the living space, the gateway node configured for routing signals to and from the sensors in the sensor network and operating a server including a processor and a memory that is programmed to communicate with the gateway node to control the sensors, receive data detected by the sensors, to process the sensor data received from the sensor network and to generate communications based on the processing in accordance with a set of rules.

Claims

1. A hands-free assistive and preventive remote monitoring system, comprising:

at least one sensor network comprising a plurality of sensors dispersed in a living environment of an infirm or aged person, or for persons with functional impairments or who are chronically ill;

a gateway connected to each of the at least one sensor network and configured to route communications to and from the sensor network, including emails and text messages; and

a server configured to manage the sensor network and the communications, including receiving the communications from the sensor network and sending the communications and control signals to the gateway or sensors in the at least one sensor network to enable access to sensor data by a variety of support personnel, wherein the communications include data on a state of the infirm or aged person or person with functional impairments or who is chronically ill in the living environment;

wherein the server provides a user interface object to an electronic processing device associated to the support personnel that enables the support personnel to define rules for sensor operation including identifying linked sensor events to help diagnose underlying problems, and setting timer trigger points according to individual patterns of behavior, to access and control the operation of the sensors at the living environment and to view the sensor data in real time; and

said system being without body worn transmitter alert devices or emergency pendant or any device attached to said person.

2. The hands-free assistive and preventive remote monitoring system of claim 1, wherein the gateway operates according to a short-range wireless protocol optimized for reliable, low-latency communications of small data packets.

3. The hands-free assistive and preventive remote monitoring system of claim 2, wherein the short range wireless protocol is Z-Wave.

4. The hands-free assistive and preventive remote monitoring system of claim 1, wherein the support personnel are any of the group consisting essentially of medical professionals, caregivers, 24-hour monitoring employees, family members and neighbors.

5. The hands-free assistive and preventive remote monitoring system of claim 4, wherein the server processes the sensor data to monitor the activities of the aged or infirm person or person with functional impairments or who is chronically ill at the living environment in accordance with a set of rules.

6. The hands-free assistive and preventive remote monitoring system of claim 5, wherein the processing includes relaying sensor-detected events to appropriate support personnel based on custom alerts related to pre-defined alert reception schedules for the support personnel entered through the server, a sensor placed in an area where medication is stored so that in the event there is no activity would indicate that the person is not taking prescribed medication, or if there is too much activity could indicate that the person is taking too much medication.

7. The hands-free assistive and preventive remote monitoring system as in claim 4, wherein the server is programmed to analyze activity of the aged or infirm person or person with functional impairments or who is chronically ill and the living environment, to characterize detected activity and environmental conditions as events and to respond to the events.

8. The hands-free assistive and preventive remote monitoring system as in claim 7, wherein the server notifies the support personnel of the events.

9. The hands-free assistive and preventive remote monitoring system as in claim 7, wherein the server notifies any of police-related emergency service providers, fire-related emergency service providers and first responder medical service providers.

17. The hands-free assistive and preventive remote monitoring system as set forth in claim 1, wherein in response to certain conditions detected from the sensor data, the server automatically activates at least one device at the living environment.

18. The hands-free assistive and preventive remote monitoring system as set forth in claim 9, wherein the at least one device activated at the living environment is any of a light or lamp, alarm and a camera.

10. A computer-based method of monitoring a state of a person in a living space or the state of the living space to optimize the monitored person'"'"'s well-being, the method comprising the steps of:

arranging a plurality of sensors in predetermined positions within the living space for generating sensor data;

connecting each of the sensors to a gateway node in the living space, the gateway node configured for routing communications to and from the sensors in the sensor network; and

operating a server including a processor and a memory that is programmed to communicate with the gateway node to receive data detected by the sensors, to process the sensor data received from the sensor network and to generate communications based on the processing in accordance with a set of rules;

wherein the operating includes providing a user interface object to an electronic processing device associated with support personnel that enables the support personnel to define rules for sensor operation including identifying linked sensor events to help diagnose underlying problems, and setting trigger points according to individual patters of behavior, as well as to access and control the operation of the sensors at the living space to view the sensor data in real time;

said system being without body worn transmitter alert devices or emergency pendant or any device attached to said person.

11. The computer-based method as set forth in claim 10,

wherein the step of operating includes controlling one or more of the sensors according to one or more of a set of rules.

12. The computer-based method as set forth in claim 11,

wherein the one or more of the set of rules define events at the particular sensor.

13. The computer-based method as set forth in claim 12, wherein the one or more set of rules define events or trigger points according to individual patterns of behavior of the infirm or aged person, or for the persons with functional impairments or who are chronically ill and living in the environment.

14. The computer-based method as set forth in claim 13, wherein the step of operating includes notifying support personnel in response to processing received event-driven signals sent from the gateway node, including from a sensor placed in an area where medication is stored so that in the event there is no activity would indicate that the person is not taking prescribed medication, or if there is too much activity could indicate that the person is taking too much medication.

15. The computer-based method as set forth in claim 10, wherein one of the sensors is a camera that provides video data from the living space and wherein the user interface object enables the support personnel to view the living space thereby.

16. A computer program product having program code means that are stored in memory on a non-transitory computer-readable data carrier, for performing all the steps of the method as defined by claim 10, when the program code means is executed on the processor.

19. The computer-based method as set forth in claim 10, wherein the step of operating includes the server automatically activating at least one device at the living space in response to certain conditions detected from the sensor data.

20. The computer-based method as set forth in claim 10, wherein the at least one device activated at the living space is any of a light or lamp, alarm and a camera.