Hygiene management for reducing illnesses and infections caused by ineffective hygiene practices
A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.
1. A method of controlling cleaning effectiveness comprising:
detecting, by a wearable computing device that is worn by an individual performing cleaning on a target surface, movement associated with the wearable device during a cleaning event;
determining, based on the movement associated with the wearable computing device, a quality of cleaning for the target surface by at least comparing movement data generated by the wearable device with reference movement data associated with a threshold quality of cleaning for the target surface, wherein the reference movement data comprises reference movement data obtained during at least one training episode in which a user cleans the target surface or an equivalent thereof while wearing the wearable computing device or an equivalent thereof; and
responsive to determining that the target surface has not been effectively cleaned to the threshold quality of cleaning, performing, by the wearable computing device, an operation.
2. The method of claim 1 , further comprising, responsive to determining that the target surface has been effectively cleaned to the threshold quality of cleaning, storing cleaning validation information associated with the target surface and a time of the cleaning event.
3. The method of claim 1 , wherein:
detecting movement associated with the wearable computing device comprises receiving, from at least one sensor of the wearable computing device, movement data, and
determining the quality of cleaning for the target surfaces comprises:
determining at least one signal feature for the movement data, and
comparing the at least one signal feature for the movement data to reference signal feature data associated with cleaning of the target surface.
4. The method of claim 1 , wherein performing the operation comprises issuing one of an audible, a tactile, and a visual alert via the wearable computing device.
5. The method of claim 1 , wherein performing the operation comprises issuing a user alert indicating that the target surface has not been effectively cleaned.
6. The method of claim 1 , further comprising receiving, by the wearable computing device, an indication from the individual performing cleaning that there has been a deviation from a planned cleaning protocol during the cleaning event.
7. The method of claim 1 , wherein the determining the quality of cleaning for the target surface comprises at least:
associating a portion of the movement data received during the cleaning event with a time when the target surface is being cleaned,
determining at least one signal feature indicative of the quality of cleaning for the portion of the movement data corresponding to when the target surface is being cleaned, and
comparing the at least one signal feature indicative of the quality of cleaning for the portion of movement data to reference signal feature data associated with the quality of cleaning.
8. The method of claim 1 , wherein determining the quality of cleaning for the target surface comprises at least:
associating a portion of the movement data received during the cleaning event with a time when the target surface is being cleaned,
determining an area of cleaning performed on the target surface, and
comparing the area of cleaning determined to be performed on the target surface to reference area data associated with the target surface.
9. The method of claim 1 , wherein performing the operation comprises issuing an alert via the wearable computing device indicating that the quality of cleaning of the target surface is less than the threshold quality of cleaning, the alert being issued in substantially real-time with the target surface being cleaned by the individual performing cleaning.
10. The method of claim 1 , further comprising:
wirelessly transmitting movement data generated by the wearable computing device to one or more remote computing devices,
determining, at the one or more remote computing devices, whether the individual performing cleaning has effective cleaned the target surface,
wireless transmitting from the one or more remote computing devices to the wearable computing device data indicating that target surface has not been effectively cleaned, and
responsive to the wearable computing device receiving the data indicating that the target surfaces has not been effective cleaned, performing, by the wearable computing device, the operation.
11. A wearable computing device comprising:
at least one sensor configured to detect movement associated with the wearable computing device;
at least one processor; and
a memory comprising instructions that, when executed, cause the at least one processor to:
receive, from the at least one sensor, movement data for the wearable computing device while an individual wearing the wearable computing device performs a cleaning operation on a target surface during a cleaning event;
determine, based on the movement data, a quality of cleaning for the target surface by at least comparing movement data with reference movement data associated with a threshold quality of cleaning for the target surface, wherein the reference movement data comprises reference movement data obtained during at least one training episode in which a user cleans the target surface or an equivalent thereof while wearing the wearable computing device or an equivalent thereof; and
responsive to determining that the target surface has not been effectively cleaned to the threshold quality of cleaning, perform an operation.
12. The device of claim 11 , wherein the instructions, when executed, cause the at least one processor to store cleaning validation information associated with the target surface and a time of the cleaning event.
13. The device of claim 11 , wherein the instructions, when executed, cause the at least one processor to determine the quality of cleaning by at least:
determining at least one signal feature for the movement data, and
comparing the at least one signal feature for the movement data to reference signal feature data associated with cleaning of the target surface.
14. The device of claim 11 , wherein the instructions, when executed, cause the at least one processor to perform the operation by at least issuing a user alert indicating that the target surface has not been effectively cleaned.
15. The device of claim 11 , wherein the instructions, when executed, cause the at least one processor to determine the quality of cleaning for the target surface by at least:
associating a portion of the movement data with a time when the target surface is being cleaned,
determining at least one signal feature indicative of the quality of cleaning for the portion of the movement data corresponding to when the target surface is being cleaned, and
comparing the at least one signal feature indicative of the quality of cleaning for the portion of movement data to reference signal feature data associated with the quality of cleaning.
16. The device of claim 11 , wherein the instructions, when executed, cause the at least one processor to determine the quality of cleaning for the target surface by at least:
associating a portion of the movement data received during the cleaning operation with a time when the target surface is being cleaned,
determining an area of cleaning performed on the target surface, and
comparing the area of cleaning determined to be performed on the target surface to reference area data associated with the target surface.
17. The method of claim 1 , wherein the user is a trainer and the at least one training episode comprises at least one training episode in which the trainer cleans the target surface or an equivalent thereof while wearing the wearable computing device or an equivalent thereof.
18. The method of claim 1 , wherein the user is the individual performing cleaning and the at least one training episode comprises at least one training episode in which the individual performing cleaning cleans the target surface or an equivalent thereof while wearing the wearable computing device or an equivalent thereof.