Human motion identification and measurement system and method

• US 20050033200A1
• Filed: 08/05/2003
• Published: 02/10/2005
• Est. Priority Date: 08/05/2003
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Soehren, Wayne A., Bye, Charles T.
• Application Number:
  US10/634,931
• Publication Number:
  US 20050033200A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 2503/20 Workers
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system and method for classifying and measuring human motion senses the motion of the human and the metabolism of the human. A motion classification unit determines the motion type being carried out by the human and provides the motion classification information to an energy estimator and a health monitor. The energy estimator also receives the metabolism information and therefrom provides an estimate of energy expended by the human. The health monitor triggers an alarm if health related thresholds are traversed. The motion classification is also provided to a processing unit that in turn provides the data to a Kalman filter, which has an output that is provided as feedback to the motion classification unit, the energy estimator and health monitor. Altimeter, GPS and magnetic sensors may also be provided for monitoring the human motion, and initial input and landmark input data inputs are provided to the system.

Claims

1. A human motion classification and measurement system, comprising:

sensors for sensing a human;

a motion classification unit connected to receive data from said sensors;

an energy estimator unit connected to receive data from at least one of said motion classification unit and said sensors; and

a Kalman filter connected to receive data from said motion classification unit and from said sensors, said Kalman filter having an output connected to said motion classification unit and said energy estimator unit so that said energy estimator unit is operable to identify an energy expenditure by the human.

2. A human motion classification and measurement system, comprising:

sensors for sensing a human;

an energy estimator unit and a health monitor unit connected to receive data from said sensors; and

a Kalman filter connected to receive data from said sensors and having an output connected to said energy estimator unit and said health monitor unit so that said energy estimator outputs an estimate of energy expended by the human and so that said health monitor outputs an indication of health of the human.

3. A human motion classification and measurement system as claimed in claim 2, further comprising:

an alarm connected to an output of said health monitor unit to indicate traversal of a threshold.

4. A human motion classification and measurement system, comprising:

a personal status sensor for mounting on a human;

motion sensors for mounting on a human;

a motion classification unit connected to receive data from said motion sensors and generate therefrom a motion type indicator signal; and

an output unit connected to said personal status sensors and to receive said motion type indicator signal, said output unit providing an output indicating a status of human activity of the human.

5. A human motion classification and measurement system as claimed in claim 4, wherein said output unit includes an energy estimator unit operable to provide an estimate of energy expended by the human and a health monitor unit operable to activate an alarm upon traversal of a health threshold.

6. A human motion classification and measurement system as claimed in claim 4, wherein said personal status sensor includes at least one of a heart rate sensor and a respiration sensor and a hydration sensor.

7. A human motion classification and measurement system as claimed in claim 4, wherein said motion sensors are inertial sensors including gyroscopic sensors and accelerometers.

8. A human motion classification and measurement system as claimed in claim 4, further comprising:

an altimeter for mounting on the human and having an output connected to said motion classification unit; and

a magnetic sensor for mounting on the human and having an output connected to said motion classification unit.

9. A human motion classification and measurement system as claimed in claim 4, further comprising:

a filter connected to receive data from said motion classification unit, said filter having an output connected to said motion classification unit and to said output unit.

10. A human motion classification and measurement system, comprising:

personal status sensors for mounting to a human;

inertial sensors for mounting to the human;

an altimeter for mounting to the human;

a magnetic sensor for mounting to the human;

a global positioning satellite sensor for mounting to a human;

a motion classification unit having inputs connected to said inertial sensors and said altimeter and said magnetic sensors, said motion classification unit having outputs for data identifying motion type of the human and distance traveled by the human;

an energy estimator and health monitor unit having inputs connected to said personal status sensors and said output of said motion classification unit for motion type data to output energy expenditure information on the human motion and to trigger an alarm upon traversal of a health threshold;

an inertial navigation unit connected to receive data from said inertial sensors and having a navigation state output;

an input preprocessing unit having inputs connected to said global positioning satellite sensor and said magnetic sensor and said altimeter and said motion classification unit and having an output; and

a filter connected to receive data from said output of said input preprocessing unit, said filter having an output connected to said motion classification unit and said energy estimator and health monitor units and said inertial navigation unit.

11. A human motion classification and measurement system as claimed in claim 10, further comprising:

a measurement prefilter connected between said input preprocessing unit and said filter; and

a human model provided as input to said measurement prefilter.

12. A human motion classification and measurement system as claimed in claim 10, further comprising:

an initial input to said input processing unit.

13. A human motion classification and measurement system as claimed in claim 10, further comprising:

a human input to said input preprocessing unit.

14. A human motion classification and measurement system, comprising:

personal status sensors for mounting to a human including a respiration sensor and a heart rate sensor and a hydration sensor;

inertial sensors for mounting to the human including three axis gyros and three axis accelerometers;

an altimeter for mounting to the human;

a magnetic sensor for mounting to the human;

a differential global positioning satellite sensor for mounting to a human;

a motion classification unit having inputs connected to said inertial sensors and said altimeter and said magnetic sensors, said motion classification unit having outputs for data identifying motion type of the human and distance traveled by the human;

an energy estimator and health monitor unit having inputs connected to said personal status sensors and said output of said motion classification unit for motion type data to output energy expenditure information on the human motion and to trigger an alarm upon traversal of a health threshold;

an inertial navigation unit connected to receive data from said inertial sensors and having a navigation state output;

an input preprocessing unit having inputs connected to said global positioning satellite sensor and said magnetic sensor and said altimeter and said motion classification unit and having an output;

a filter connected to receive data from said output of said input preprocessing unit, said filter having an output connected to said motion classification unit and said energy estimator and health monitor units and said inertial navigation unit;

a measurement prefilter connected between said input preprocessing unit and said filter;

a human model provided as input to said measurement prefilter;

an initial input to said input processing unit; and

a human input to said input preprocessing unit.

15. A method for monitoring human motion, comprising the steps of:

sensing motion and metabolism rate of a human;

classifying the motion of the human sensed in said sensing step; and

estimating energy expended by the human from the classified motion and from the metabolism rate.

16. A method as claimed in claim 15, further comprising the step of:

triggering an alarm if a health threshold is traversed.

17. A method as claimed in claim 15, further comprising the steps of:

providing landmarking position data for the human.