INTELLIGENT COMFORT LEVEL MONITORING SYSTEM

• US 20160242680A1
• Filed: 02/20/2015
• Published: 08/25/2016
• Est. Priority Date: 02/20/2015
• Status: Abandoned Application

• Current Assignee: Umm Al-Qura University
• Original Assignee: Umm Al-Qura University
• Inventors: Felemban, Emad, ARIF, Muhammad
• Application Number:
  US14/627,972
• Publication Number:
  US 20160242680A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0247 for compensation or correction of the measured physiological value
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6843 Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

A comfort level monitoring system monitors the physical and surrounding environment of an individual includes a wearable item to house a plurality of sensors, at least one physical pressure measuring sensor to detect an amount of external physical pressure exerted on a person wearing the wearable item, a first set of sensors to detect environmental data associated with an environmental comfort level of the person wearing the wearable item, a second set of sensors to detect oxygen ratios associated with the environment surrounding the person, a third set of sensors to detect total energy expenditure of the person, a user interface to receive personal physical data associated with the person, a fuzzy logic circuit to calculate, in response to received inputs, an overall comfort level associated with the person, and an activity alarm triggered when the overall comfort level falls below a predetermined threshold.

Claims

1. A comfort level monitoring system comprising:

a wearable item configured to house a plurality of sensors;

at least one physical pressure measuring sensor configured to detect an amount of external physical pressure exerted on a person wearing the wearable item;

a first set of sensors configured to detect environmental data associated with an environmental comfort level of the person wearing the wearable item;

a second set of sensors configured to detect total energy expenditure of the person;

a user interface configured to receive personal physical data associated with the person;

a fuzzy logic circuit configured to apply a fuzzy logic algorithm to calculate, in response to received inputs from the at least one physical pressure measuring sensor, the first set of sensors and the second set of sensors, an overall comfort level associated with the person; and

an activity alarm configured to be triggered when the overall comfort level falls below a predetermined threshold.

2. The comfort level monitoring system of claim 1, wherein the at least one physical pressure measuring sensors further comprises at least four physical pressure measuring sensors placed within the wearable item to maximize measurement of external physical pressure.

3. The comfort level monitoring system of claim 2, wherein a different value weighting is assigned to each one of the at least four physical pressure measuring sensors depending on a location of the at least four physical pressure measuring sensor within the attire.

4. The comfort level monitoring system of claim 1, wherein the first set of sensors includes at least one of a temperature sensor, a humidity level sensor, a wind speed sensor, and a solar radiation sensor.

5. The comfort level monitoring system of claim 4, wherein the environmental comfort level is generated by non-linear aggregating circuitry configured to create an n dimensional space, for n input parameters.

6. The comfort level monitoring system of claim 5, wherein when n=4, the input parameters include wind speed information, solar radiation information, temperature information and humidity information.

7. The comfort level monitoring system of claim 1, wherein the second set of sensors further includes at least one global positioning sensor (GPS) and at least one inertial navigation sensor (INS).

8. The comfort level monitoring system of claim 7, wherein the GPS and INS sensor data is used to predict an activity performed by the person and the total energy expenditure calculation is dependent on the predicted activity performed by the person.

9. The comfort level monitoring system of claim 8, wherein the predicted activity includes walking, running, standing, and sitting.

10. The comfort level monitoring system of claim 1, wherein the personal physical data associated with the person includes body strength, age, body mass index (BMI) and gender.

11. The comfort level monitoring system of claim 10, wherein a different value weighting is assigned to each one of the genders such that the generated overall comfort level is dependent on the weighting of the different genders.

12. The comfort level monitoring system of claim 1, wherein the activity abort alarm is further configured to instruct at least one individual to abort the physical activity currently in pursuit.

13. The comfort level monitoring system of claim 1, the activity abort alarm further generates a crowd dispersion outline configured to ease specific congestion location within a venue.

14. A comfort level monitoring method comprising:

housing a plurality of sensors in a wearable item;

circuitry configured to

detect an amount of external physical pressure exerted on a person wearing the wearable item,

measure environmental data associated with an environmental comfort level of the person wearing the wearable item,

calculate oxygen ratios associated with the environment surrounding the person,

measure total energy expenditure of the person,

receive and process personal physical data associated with the person,

apply a fuzzy logic algorithm to calculate, in response to received inputs, an overall comfort level associated with the person, and

trigger an activity abort alarm when the overall comfort level falls below a predetermined threshold.

15. The comfort level monitoring method of claim 14, wherein the circuitry further comprises at least four physical pressure measuring sensors placed within the wearable item to maximize measurement of external physical pressure.

16. The comfort level monitoring method of claim 15, wherein a different value weighting is assigned to each one of the at least four physical pressure measuring sensors depending on a location of the at least four physical pressure measuring sensor within the attire.

17. The comfort level monitoring method of claim 14, wherein the circuitry further comprises at least one of a temperature sensor, a humidity level sensor, a wind speed sensor, and a solar radiation sensor.

18. A non-transitory computer-readable storage medium having computer readable program codes embodied in the computer readable storage medium that, when executed cause a computer to execute a display control method for controlling a display control device comprising:

housing a plurality of sensors in a wearable item;

detecting an amount of external physical pressure exerted on a person wearing the wearable item;

measuring environmental data associated with an environmental comfort level of the person wearing the wearable item;

calculating oxygen ratios associated with the environment surrounding the person;

measuring total energy expenditure of the person;

receiving and process personal physical data associated with the person;

applying a fuzzy logic algorithm to calculate, in response to received inputs, an overall comfort level associated with the person; and

triggering an activity abort alarm when the overall comfort level falls below a predetermined threshold.

19. The non-transitory computer-readable storage medium of claim 18, wherein detecting an amount of external physical pressure further includes generating inputs from at least four physical pressure measuring sensors placed within the wearable item to maximize measurement of external physical pressure.

20. The non-transitory computer-readable storage medium of claim 19, wherein a different value weighting is assigned to each one of the at least four physical pressure measuring sensors depending on a location of the at least four physical pressure measuring sensor within the attire.