Drone delivery of coffee based on a cognitive state of an individual
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
E04H-003/04
B64C-039/02
A61B-005/16
A61B-005/0205
A61B-005/01
A61B-005/1171
A61B-005/11
A61B-005/024
A61B-005/021
A61B-005/08
A61B-003/11
출원번호
US-0978620
(2015-12-22)
등록번호
US-10040551
(2018-08-07)
발명자
/ 주소
Erickson, Thomas David
Feris, Rogerio S.
Pickover, Clifford A.
Vukovic, Maja
출원인 / 주소
International Business Machines Corporation
대리인 / 주소
Fleit Gibbons Gutman Bongini Bianco PL
인용정보
피인용 횟수 :
0인용 특허 :
10
초록▼
Coffee or other drink, for example a caffeine containing drink, is delivered to individuals that would like the drink, or who have a predetermined cognitive state, using an unmanned aerial vehicle (UAV)/drone. The drink is connected to the UAV, and the UAV flies to an area including people, and uses
Coffee or other drink, for example a caffeine containing drink, is delivered to individuals that would like the drink, or who have a predetermined cognitive state, using an unmanned aerial vehicle (UAV)/drone. The drink is connected to the UAV, and the UAV flies to an area including people, and uses sensors to scan the people for an individual who has gestured that they would like the drink, or for whom an electronic analysis of sensor data indicates to be in a predetermined cognitive state. The UAV then flies to the individual to deliver the drink. The analysis can include profile data of people, including electronic calendar data, which can be used to determine a potentially predetermined cognitive state.
대표청구항▼
1. A method for delivering a drink to an individual, comprising: connecting the drink to an unmanned aerial vehicle (UAV);flying the UAV to an area including a plurality of people;scanning the people, using one or more sensors connected to the UAV, the one or more sensors connected to an electronic
1. A method for delivering a drink to an individual, comprising: connecting the drink to an unmanned aerial vehicle (UAV);flying the UAV to an area including a plurality of people;scanning the people, using one or more sensors connected to the UAV, the one or more sensors connected to an electronic processing circuit which identifies an individual among the people that may have a predetermined sleepy cognitive state including determining a confidence level corresponding to a probable desire of the individual for the drink including a stimulant which reduces a sleepy cognitive state, based on the sensor data and using sleep data pertaining to sleep experienced by the people when selecting the individual that may have the sleepy cognitive state;accessing sleep data pertaining to a sleep cycle of the individual determined by motion detection of the individual during a sleep period, and adjusting the confidence level in accordance to the sleep data; andif the confidence level reaches a predetermined level, flying the UAV to the individual that may have the sleepy cognitive state to deliver the drink including the stimulant to the individual. 2. The method of claim 1, wherein the UAV is fully autonomous, and flies to the area and flies to the individual without human assistance. 3. The method of claim 1, wherein the electronic processing circuit is on the UAV. 4. The method of claim 1, wherein the electronic processing circuit is not on the UAV, and the UAV transmits sensor data wirelessly to the electronic processing circuit to identify the individual. 5. The method of claim 1, where the drink includes coffee. 6. The method of claim 1, wherein the electronic processor circuit determines an individual that may have a predetermined cognitive state by examining a physiological state of the individual determinable using the sensor data. 7. The method of claim 1, wherein scanning the people includes obtaining images of the people, the images being analyzed to determine an angular disposition of at least one of the head, eyes, back, and shoulders of one or more of the people. 8. The method of claim 6, wherein the sensor data includes one or more of heart rate, blood pressure, pupil dilation, breathing rate, skin temperature, and a chemical composition of breath, of at least one of the people. 9. The method of claim 6, wherein the sensor data includes one or more of biometrics, blood pressure, and facial expression analysis. 10. The method of claim 1, wherein the electronic processor circuit uses sensor data to determine an identity of one or more of the people. 11. The method of claim 1, wherein the electronic processor circuit uses image data of one or more of the people to determine an identity of an individual using a face recognition algorithm. 12. The method of claim 1, wherein the electronic processing circuit accesses electronic calendar data relating to one or more of the people, and determines a likelihood that an individual among the people may have a predetermined cognitive state using meeting schedules of individuals among the people. 13. The method of claim 1, wherein if the individual identified rejects the delivered drink, the UAV selects another individual for delivery of the drink. 14. The method of claim 1, wherein a plurality of the people have provided informational profiles including data relating to a sleep state. 15. The method of claim 1, wherein the sensor data is analyzed by the electronic processor circuit to identify a gesture of at least one of the people indicating a desire for the drink. 16. The method of claim 1, wherein delivering the drink to the individual includes lowering the drink to the individual on a string. 17. The method of claim 1, wherein the motion detection is carried out using at least one of an accelerometer and camera.
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이 특허에 인용된 특허 (10)
Jarisch, Christian; Tomatis, Nicola; Scorrano, Lucio, Autonomous food and beverage distribution machine.
Hursh,Steven Rawlings; Elsmore,Timothy; Eddy,Douglas Raymond, Interface for a system and method for evaluating task effectiveness based on sleep pattern.
Thomas J. Balkin ; Gregory L. Belenky ; Stanley W. Hall ; Gary H. Kamimori ; Daniel P. Redmond ; Helen C. Sing ; Maria L. Thomas ; David R. Thorne ; Nancy Jo Wesensten, Method for predicting human cognitive performance.
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