A control method executed by an information processing device including a memory configured to store information of a plurality of behavioral patterns associated with positional information, the control method includes receiving, from a mobile device, a plurality of detected values associated with times and each including information of acceleration and an angular velocity; generating a behavioral pattern corresponding to the mobile device based on the plurality of detected values; determines a behavioral pattern that is among the plurality of behavioral patterns stored in the memory and is similar to the generated behavioral pattern; and acquiring positional information associated with the determined behavioral pattern.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A control method executed by an information processing device including a memory configured to store information of a plurality of behavioral patterns associated with positional information, the control method comprising: receiving, from a mobile device, a plurality of detected values associated with times and each including information of acceleration and an angular velocity; generating a behavioral pattern corresponding to the mobile device based on the plurality of detected values; determines a behavioral pattern that is among the plurality of behavioral patterns stored in the memory and is similar to the generated behavioral pattern; and acquiring positional information associated with the determined behavioral pattern. 2. The control method according to claim 1, wherein the generating includes generating a behavioral pattern vector having elements that are numerical values assigned to the types of behaviors forming the behavioral pattern and a behavioral characteristic vector having elements that are numerical values each representing a characteristic of the transition between continuous two behaviors among the behaviors. 3. The control method according to claim 2, further comprising calculating inner products of the generated behavioral pattern vector and a plurality of behavioral pattern vectors stored in the memory, and wherein the determining includes selecting, from among the plurality of behavioral pattern vectors, a behavioral pattern vector for which the maximum inner product is calculated. 4. The control method according to claim 2, wherein the behavioral characteristic vector includes, as an element, at least any of the number of steps between continuous two behaviors, a time period between the continuous two behaviors, and a distance between the position of the mobile device when one of the continuous two behaviors occurs and the position of the mobile device when the other of the continuous two behaviors occurs. 5. The control method according to claim 1, wherein the storing includes storing, in the memory, information of the plurality of behavioral patterns associated with space-specific information representing information identifying access points, the control method further comprising receiving, from the mobile device, space-specific information corresponding to an access point of the mobile device, wherein the determining includes comparing, for behaviors forming the behavioral pattern, the received space-specific information with space-specific information associated with the plurality of behavioral patterns stored in the memory. 6. The control method according to claim 5, wherein the comparing includes determining whether a MAC address received from the mobile device is common to a MAC address acquired from the memory and whether a strength of a signal received from the mobile device is in a range between the minimum value and maximum value acquired from the memory. 7. An information processing device comprising: a memory configured to store information of a plurality of behavioral patterns associated with positional information; a processor coupled to the memory and configured to: receive, from a mobile device, a plurality of detected values associated with times and each including information of acceleration and an angular velocity, generate a behavioral pattern corresponding to the mobile device based on the plurality of detected values, determine a behavioral pattern that is among the plurality of behavioral patterns stored in the memory and is similar to the generated behavioral pattern, and acquire positional information associated with the determined behavioral pattern. 8. The information processing device according to claim 7, wherein the processor is configured to generate a behavioral pattern vector having elements that are numerical values assigned to the types of behaviors forming the behavioral pattern and a behavioral characteristic vector having elements that are numerical values each representing a characteristic of the transition between continuous two behaviors among the behaviors. 9. The information processing device according to claim 8, wherein the processor is configured to: calculate inner products of the generated behavioral pattern vector and a plurality of behavioral pattern vectors stored in the memory, and select, from among the plurality of behavioral pattern vectors, a behavioral pattern vector for which the maximum inner product is calculated. 10. The information processing device according to claim 8, wherein the behavioral characteristic vector includes, as an element, at least any of the number of steps between continuous two behaviors, a time period between the continuous two behaviors, and a distance between the position of the mobile device when one of the continuous two behaviors occurs and the position of the mobile device when the other of the continuous two behaviors occurs. 11. A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the computer including a memory configured to store information of a plurality of behavioral patterns associated with positional information, the process comprising: receiving, from a mobile device, a plurality of detected values associated with times and each including information of acceleration and an angular velocity; generating a behavioral pattern corresponding to the mobile device based on the plurality of detected values; determines a behavioral pattern that is among the plurality of behavioral patterns stored in the memory and is similar to the generated behavioral pattern; and acquiring positional information associated with the determined behavioral pattern.