System and method for monitoring safety and productivity of physical tasks

• US 9,833,197 B1
• Filed: 03/17/2015
• Issued: 12/05/2017
• Est. Priority Date: 03/17/2014
• Status: Active Grant

• Current Assignee: One Million Metrics Corp.
• Original Assignee: One Million Metrics Corp.
• Inventors: Elhawary, Haytham, Bansal, Aditya, Janoos, Firdaus, Youssry, Selim
• Primary Examiner(s): Hindenburg, Max
• Application Number:
  US14/660,578
• Publication Number:
  US 20170347965A1
• Time in Patent Office: 994 Days
• CPC Class Codes: A61B 2503/20 Workers
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• 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 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method for monitoring workplace safety and evaluating risks during lifting activities is provided, the method comprising receiving signals from wearable first and second devices, identifying portions of the signals corresponding to lifting activities, excerpting the portions of the signals corresponding to lifting activities, and calculating risk metrics based on measurements extracted from the excerpted portions of the signals, the risk metric indicative of high risk lifting activities.

Claims

1. A computer-based method for identifying risk during physical activities comprising:

locating a wearable first device at a first location on a wearer;

location a wearable second device at a second location on the wearer;

receiving a first signal from the wearable first device generated from dynamic activity of the first device over time;

receiving a second signal from the wearable second device generated from dynamic activity of the second device over time;

identifying, from the first signal or the second signal, an initiation time for a physical activity performed by the wearer of the first device and the second device;

excerpting a first signal segment from the first signal for a time period following the initiation time for the physical activity;

excerpting a second signal segment from the second signal for the time period following the initiation time for the physical activity;

determining a conclusion time for the physical activity;

calculating measurements of the wearer for the time period during the physical activity from the first signal segment and the second signal segment; and

calculating a risk metric from a risk model based on the measurements of the wearer for the time period during the physical activity, the risk metric being indicative of high risk physical activity,

wherein the initiation time and the conclusion time are each determined based on sensor data from the first device or the second device; and

wherein the initiation time for the physical activity is determined prior to the conclusion time for the physical activity.

2. The method of claim 1 further comprising repeating the method to identify a plurality of physical activities over an evaluation period, wherein the excerpted first signal segment and second signal segment are for the time period following the initiation time and prior to the conclusion time for the physical activity.

3. The method of claim 2 further comprising defining a particular activity for each physical activity of the evaluation period.

4. The method of claim 3 further comprising evaluating instances of the risk metric corresponding to a particular activity and generating a recommendation for reducing the value of the risk metric for future instances of the defined physical location or particular activity.

5. The method of claim 4 wherein the recommendation comprises one of:

a recommendation to bring a load closer to the wearer by removing any barriers or obstacles between the wearer and the load;

a recommendation to avoid lifts beginning near the floor;

a recommendation to avoid lifts over shoulder height;

a recommendation to reduce the vertical distance between an origin and a destination of a load;

a recommendation to reduce a lifting frequency;

a recommendation that the wearer modify his posture or biomechanics in a specified way;

or

a recommendation to allow for longer recovery periods between lifts.

6. The method of claim 3 wherein at least one physical activity of the evaluation period is defined as a first particular activity and at least one other particular activity of the evaluation period is defined as a second particular activity, the method further comprising calculating a cumulative risk metric indicative of high risk physical activity over time based on the calculated risk metric and the identity of the first and second particular activity and outputting feedback indicative of a high risk when the cumulative risk metric is above a threshold level.

7. The method of claim 2 wherein the measurements extracted are:

a horizontal location of the first device relative to a second device;

a vertical location of the first device relative to a floor;

a rotation angle of the second device;

a frequency of physical activities during the evaluation period; and

a duration of the evaluation period.

8. The method of claim 7 wherein the risk metric is a maximum weight for a package lifted that should not be exceeded.

9. The method of claim 7 further comprising receiving a predetermined average weight of packages to be lifted during the evaluation period, and wherein the risk metric is an estimated risk of injury.

10. The method of claim 2 wherein the measurements extracted are:

an average twisting velocity of the torso of the user;

a maximum moment on the lower back;

a maximum bending angle of the lower back relative to gravity;

a maximum lateral velocity of the torso; and

a frequency of lifting activities among the physical activities during the evaluation period.

11. The method of claim 2 further comprising calculating a productivity metric independent of the risk metric based on a total number of physical activities over the evaluation period and the duration of each physical activity.

15. The method of claim 1 wherein the physical activity is one of lifting, pushing, pulling, carrying, or throwing.

17. The method of claim 5 further comprising evaluating instances of the risk metric across a group of wearers, and wherein the recommendation is applied to the group of wearers.

18. The method of claim 2 wherein the risk metric is indicative of forces on a segment of the spine, the method further comprising providing feedback where the risk metric is above a defined threshold.

19. The method of claim 2 wherein the risk metric is indicative of a biomechanical posture during the physical activity, the method further comprising providing feedback where a value for the risk metric derived from the posture detected deviates from a predetermined ideal value for the risk metric.

20. The method of claim 2 wherein the risk metric is indicative of dynamic variables representing position, velocity, and acceleration of the wearable second device, the method further comprising providing feedback when that value is above a defined threshold.

22. The method of claim 2 wherein the second location on the wearer is a torso or waist of a user and the measurements extracted are kinematic measurements of the wearer'"'"'s torso, including position, velocity, or acceleration of the torso in one or more of the cardinal planes.

23. The method of claim 1, wherein the first location on the wearer is an arm and the initiation time is identified by identifying movement of the first device above a wearer'"'"'s shoulder.

24. The method of claim 11, further comprising generating recommendations for increasing the value of the productivity metric while reducing the value of the risk metric.

25. The method of claim 1, further comprising calculating the risk metric prior to the conclusion time and outputting feedback indicative of a high risk prior to the conclusion time.

12. A system for identifying risk during physical activities comprising:

a first wearable device located at a first location on a wearer;

a second wearable device located at a second location on the wearer;

a computing device having a memory and a processor in communication with the first wearable device and the second wearable device;

wherein the computing device;

receives a first signal from the first wearable device generated from dynamic activity of the first device over time and a second signal from the second wearable device generated from dynamic activity of the second device over time;

identifies, from the first signal and the second signal, an initiation time for a physical activity performed by a wearer of the first device and the second device,

determines a conclusion time for the physical activity,

excerpts a first signal segment from the first signal and a second signal segment from the second signal for a time period following the initiation time for the physical activity,

calculates measurements of the wearer during the physical activity from the first signal segment and the second signal segment, and

calculates a risk metric from a risk model based on the measurements of the wearer for the time period during the physical activity, the risk metric being indicative of high risk physical activity,

wherein the initiation time and the conclusion time are each determined based on sensor data from the first device or the second device, and

wherein the initiation time for the physical activity is determined prior to the conclusion time for the physical activity.

16. The system of claim 12 wherein the physical activity is one of lifting, pushing, pulling, carrying, or throwing.

13. A computer-based method for identifying risk during material handling activities comprising:

receiving a first signal from a wearable first device generated from dynamic activity of the first device over time;

receiving a second signal from a wearable second device generated from dynamic activity of the second device over time;

calculating measurements of a wearer of the first device and the second device during a material handling activity from the first signal and the second signal;

calculating a risk metric from a risk model based on the measurements of the wearer for the time period during the material handling activity, the risk metric being indicative of high risk material handling activity;

repeating the method to identify a plurality of material handling motions over an evaluation period;

extracting data indicative of an angular velocity or acceleration of the first sensor during the material handling activity; and

determining a weight of an object handled based at least in part on the angular velocity or acceleration data extracted.

14. The method of claim 13 wherein the metric is an acceptable weight limit for an object handled, the method further comprising outputting feedback indicative of a high risk material handling activity if the weight of the object handled is greater than the acceptable weight limit.

21. The method of claim 14 wherein the material handling activity is one of lifting, pushing, pulling, carrying, or throwing.