Wheelchair movement measurement and analysis
Techniques are described for collecting sensor data associated with a wheelchair and, based on the sensor data, determining metric(s) for a user of the wheelchair. Sensor(s) attached to, or in proximity to, the wheelchair may collect sensor data describing the wheelchair and/or its component(s), such as location, velocity, acceleration, direction of movement, orientations (e.g., pitch, yaw, roll), angular velocity of wheels, angular acceleration of wheels, and so forth. The sensor data may be analyzed to determine (e.g., fitness) metrics such as a caloric burn rate, a metabolic burn rate, and/or power expenditure of the user while the user is employing the wheelchair to exercise or otherwise move. The metric(s) and/or sensor data may be presented to the user through a user interface on a smartphone, tablet computer, wearable computer, or other device, to enable the user to monitor fitness metric(s) during use of the wheelchair.
1. A computer-implemented method performed by at least one processor, the method comprising:
receiving, by the at least one processor, sensor data determined by sensors in proximity to a wheelchair, the sensor data indicating an inclination of the wheelchair and a rotational frequency of at least one wheel of the wheelchair, the sensors including a gyroscopic orientation sensor to determine the inclination and at least one Hall effect sensor to determine the rotational frequency;
determining, by the at least one processor, a force applied to the wheelchair based at least partly on the inclination of the wheelchair;
determining, by the at least one processor, at least one metric for a user of the wheelchair based at least partly on the force and the rotational frequency; and
presenting, by the at least one processor, through a user interface that is executed on a computing device: i) the at least one metric, ii) at least a portion of the sensor data, and iii) a graphic of the wheelchair, the graphic showing the inclination of the wheelchair that is indicated by the sensor data.
2. The method of claim 1 , wherein determining the at least one metric further includes:
determining an angular velocity of the at least one wheel, based at least partly on the rotational frequency;
determining a power as a product of the force and the angular velocity; and
determining the at least one metric based on the power.
3. The method of claim 2 , wherein:
the sensor data further includes location data indicating the location of the wheelchair determined at least partly based on satellite-based navigation signals; and
the angular velocity is further based at least partly on the location data.
4. The method of claim 1 , wherein:
the sensor data includes orientation data indicating at least one orientation of the wheelchair other than the inclination, the at least one orientation relative to at least one axis; and
the orientation data is determined by at least one of the gyroscopic orientation sensor or an accelerometer coupled to the wheelchair.
5. The method of claim 1 , wherein:
the sensor data includes wheel rotation data indicating the rotational frequency of the at least one wheel of the wheelchair; and
the wheel rotation data is determined by at least one rotation sensor coupled to the wheelchair in addition to the at least one Hall effect sensor.
6. The method of claim 1 , wherein the at least one metric includes one or more of a caloric burn rate, a metabolic burn rate, or a power expenditure of the user of the wheelchair.
7. The method of claim 1 , wherein:
the at least one of the sensors is included in a data collection device attached to the wheelchair; and
the sensor data is received in a communication that is sent over a wireless network from a network interface of the data collection device.
8. A system comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor, the memory storing executable instructions which, when executed, cause the at least one processor to perform operations including:
receiving sensor data determined by sensors in proximity to a wheelchair, the sensor data indicating an inclination of the wheelchair and a rotational frequency of at least one wheel of the wheelchair, the sensors including a gyroscopic orientation sensor to determine the inclination and at least one Hall effect sensor to determine the rotational frequency;
determining a force applied to the wheelchair based at least partly on the inclination of the wheelchair;
determining at least one metric for a user of the wheelchair based at least partly on the force and the rotational frequency; and
presenting through a user interface that is executed on a computing device: i) the at least one metric, ii) at least a portion of the sensor data, and iii) a graphic of the wheelchair, the graphic showing the inclination of the wheelchair that is indicated by the sensor data.
9. The system of claim 8 , wherein determining the at least one metric further includes:
determining an angular velocity of the at least one wheel, based at least partly on the rotational frequency;
determining a power as a product of the force and the angular velocity; and
determining the at least one metric based on the power.
10. The system of claim 9 , wherein:
the sensor data further includes location data indicating the location of the wheelchair determined at least partly based on satellite-based navigation signals; and
the angular velocity is further based at least partly on the location data.
11. The system of claim 8 , wherein:
the sensor data includes orientation data indicating at least one orientation of the wheelchair other than the inclination, the at least one orientation relative to at least one axis; and
the orientation data is determined by at least one of the gyroscopic orientation sensor or an accelerometer coupled to the wheelchair.
12. The system of claim 8 , wherein:
the sensor data includes wheel rotation data indicating the rotational frequency of the at least one wheel of the wheelchair; and
the wheel rotation data is determined by at least one rotation sensor coupled to the wheelchair in addition to the at least one Hall effect sensor.
13. The system of claim 8 , wherein the at least one metric includes one or more of a caloric burn rate, a metabolic burn rate, or a power expenditure of the user of the wheelchair.
14. The system of claim 8 , wherein:
the at least one of the sensors is included in a data collection device attached to the wheelchair; and
the sensor data is received in a communication that is sent over a wireless network from a network interface of the data collection device.
15. One or more computer-readable storage media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving sensor data determined by sensors in proximity to a wheelchair, the sensor data indicating an inclination of the wheelchair and a rotational frequency of at least one wheel of the wheelchair, the sensors including a gyroscopic orientation sensor to determine the inclination and at least one Hall effect sensor to determine the rotational frequency;
determining a force applied to the wheelchair based at least partly on the inclination of the wheelchair;
determining at least one metric for a user of the wheelchair based at least partly on the force and the rotational frequency; and
presenting through a user interface that is executed on a computing device: i) the at least one metric, ii) at least a portion of the sensor data, and iii) a graphic of the wheelchair, the graphic showing the inclination of the wheelchair that is indicated by the sensor data.
16. The one or more computer-readable storage media of claim 15 , wherein determining the at least one metric further includes:
determining an angular velocity of the at least one wheel, based at least partly on the rotational frequency;
determining a power as a product of the force and the angular velocity; and
determining the at least one metric based on the power.
17. The one or more computer-readable storage media of claim 16 , wherein:
the sensor data further includes location data indicating the location of the wheelchair determined at least partly based on satellite-based navigation signals; and
the angular velocity is further based at least partly on the location data.
18. The one or more computer-readable storage media of claim 15 , wherein:
the sensor data includes orientation data indicating at least one orientation of the wheelchair other than the inclination, the at least one orientation relative to at least one axis; and
the orientation data is determined by at least one of the gyroscopic orientation sensor or an accelerometer coupled to the wheelchair.
19. The one or more computer-readable storage media of claim 15 , wherein:
the sensor data includes wheel rotation data indicating the rotational frequency of the at least one wheel of the wheelchair; and
the wheel rotation data is determined by at least one rotation sensor coupled to the wheelchair in addition to the at least one Hall effect sensor.
20. The one or more computer-readable storage media of claim 15 , wherein the at least one metric includes one or more of a caloric burn rate, a metabolic burn rate, or a power expenditure of the user of the wheelchair.