JP2020097338A - Rider discrimination device of man-power drive vehicle and control system of man-power drive vehicle - Google Patents

Abstract

To provide a rider discrimination device of a man-power drive vehicle and a control system of a man-power drive vehicle which can contribute to usability.SOLUTION: A rider discrimination device of a man-power drive vehicle includes a detection part that detects state information related to at least one of a state of the man-power drive vehicle during travelling of the man-power drive vehicle and a state of a rider in the man-power drive vehicle, and an artificial intelligence processing part that discriminates the rider according to the state information detected by the detection part.SELECTED DRAWING: Figure 2

Description

The present invention relates to an occupant discrimination device for a human-powered vehicle and a control system for the human-powered vehicle.

For example, in the human-powered vehicle of Patent Document 1, the setting of the human-powered vehicle is changed according to the passenger.

JP 2012-148580 A

The human-powered vehicle described in Patent Document 1 discriminates an occupant according to information from a transmitter held by the occupant. Therefore, it is necessary for the passenger to carry the transmitter around, and there is room for improvement in usability.
One of the objects of the present invention is to provide an occupant determination device for a human-powered vehicle and a control system for the human-powered vehicle that can contribute to usability.

The occupant determination device for a human-powered vehicle according to the first aspect of the present disclosure provides status information relating to at least one of a state of the human-powered vehicle during traveling of the human-powered vehicle and a state of an occupant of the human-powered vehicle. A detection unit that detects the occupant and an artificial intelligence processing unit that determines the occupant according to the state information detected by the detection unit are included.
According to the passenger determination device for a human-powered vehicle of the first aspect, the artificial intelligence processing unit determines the passenger according to the state information. Therefore, it can contribute to usability.

The occupant determination device for a human-powered vehicle of the second aspect according to the first aspect of the present disclosure further includes an input unit for inputting personal information regarding the occupant, and the artificial intelligence processing unit is input from the input unit. A process for identifying the passenger is constructed according to the personal information and the state information detected by the detection unit.
According to the occupant discrimination device for a human-powered vehicle of the second aspect, the occupant can be suitably discriminated by the processing constructed according to the personal information and the state information.

In the occupant discrimination device for a human powered vehicle according to the third aspect according to the first or second aspect of the present disclosure, the artificial intelligence processing unit learns a characteristic of a change in the state information detected by the detection unit.
According to the occupant discrimination device for a human-powered vehicle of the third aspect, the occupant can be preferably discriminated by learning the characteristics of the change in the state information.

In the occupant discrimination device for a human-powered vehicle of the fourth aspect according to the third aspect of the present disclosure, the artificial intelligence processing unit further includes a first storage unit that stores learned information.
According to the occupant discrimination device for the human-powered vehicle of the fourth aspect, the occupant can be discriminated from the learned information stored in the first storage unit.

In the occupant determination device for a human-powered vehicle of the fifth aspect according to the second aspect of the present disclosure, the artificial intelligence processing unit associates the characteristic of the change in the state information detected by the detection unit with the personal information. learn.
According to the occupant discrimination device for a human-powered vehicle of the fifth aspect, the occupant can be suitably discriminated by learning the characteristics of the change in the state information.

In the occupant determination device for a human-powered vehicle of the sixth aspect according to the fifth aspect of the present disclosure, the artificial intelligence processing unit further includes a second storage unit that stores learned information.
According to the passenger determination device for a human-powered vehicle of the sixth aspect, the passenger can be determined based on the learned information stored in the second storage unit.

In the occupant determination device for a human-powered vehicle of the seventh aspect according to any one of the first to sixth aspects of the present disclosure, the artificial intelligence processing unit determines that the new occupant is the occupant if the occupant cannot be determined. It is determined that you are in a human-powered vehicle.
According to the passenger determination device for a human-powered vehicle of the seventh aspect, it is possible to more appropriately determine the passenger.

In the occupant determination device for a human-powered vehicle of the eighth aspect according to any one of the first to seventh aspects of the present disclosure, the state of the human-powered vehicle is the rotation speed of a crank of the human-powered vehicle, the crank. At least one of the input human-powered driving force and the vehicle speed of the human-powered vehicle is included.
According to the occupant determination device for the human-powered vehicle of the eighth aspect, the characteristics of the occupant of the human-powered vehicle are likely to differ depending on the occupant. An occupant can be suitably discriminated according to at least one.

In the occupant discrimination device for a human-powered vehicle of the ninth aspect according to any one of the first to eighth aspects of the present disclosure, the occupant's state is at least one of the occupant's posture and the occupant's weight. Including one.
According to the passenger determination device for a human-powered vehicle of the ninth aspect, it is possible to preferably determine the passenger according to at least one of the posture of the passenger and the weight of the passenger that are different for each passenger.

A control system for a human-powered vehicle according to a tenth aspect of the present disclosure is an occupant determination device for a human-powered vehicle according to any one of the first to ninth aspects, an electric component provided in the human-driven vehicle, and the artificial intelligence. A control unit that controls the electric component according to the occupant determined by the processing unit.
According to the control system for the human-powered vehicle of the tenth aspect, the electric component can be controlled according to the occupant. Therefore, it can contribute to usability.

The control system for a human-powered vehicle according to the eleventh aspect according to the tenth aspect of the present disclosure further includes a third storage section that stores setting information corresponding to the occupant, and the control section is determined by the artificial intelligence processing section. The electric component is controlled according to the set information corresponding to the passenger.
According to the control system for the human-powered vehicle of the eleventh aspect, the electric component can be controlled according to the setting information corresponding to the passenger.

In the control system for a human-powered vehicle according to the twelfth aspect according to the eleventh aspect of the present disclosure, the electric component is at least one of a motor, a transmission, an electric seatpost, and an electric suspension that assists in propulsion of the human-driven vehicle. including.
According to the human-powered vehicle control system of the twelfth aspect, at least one of the motor, the transmission, the electric seat post, and the electric suspension can be controlled according to the occupant.

In the control system for a human-powered vehicle according to the thirteenth aspect according to the eleventh or twelfth aspect of the present disclosure, the electrical component has a first state in which at least one function is restricted, and a second state in which the at least one function is not restricted. When the artificial intelligence processing unit cannot determine the occupant, the control unit operates the electric component in the first state.
According to the control system for the human-powered vehicle of the thirteenth aspect, at least one function of the electric component can be limited when the occupant cannot be discriminated.

In the control system for a human-powered vehicle of the fourteenth aspect according to any one of the eleventh to thirteenth aspects of the present disclosure, the electric component is in a regulation state for restricting traveling of the human-driven vehicle and traveling of the human-driven vehicle. When the artificial intelligence processing unit cannot determine the occupant, the control unit operates the switching unit in a restricted state.
According to the control system for the human-powered vehicle of the fourteenth aspect, the traveling of the human-powered vehicle can be restricted when the occupant cannot be discriminated.

The control system for a human-powered vehicle according to the fifteenth aspect according to the eleventh or twelfth aspect of the present disclosure, further comprising a fourth storage unit that stores personal information regarding the occupant, wherein the electrical component has at least one function limited. And a second state in which the at least one function is not restricted, and the control unit is configured to operate the personal information regarding the passenger determined by the artificial intelligence processing unit. When not stored in the fourth storage unit, the electric component is operated in the first state.
According to the control system for a human-powered vehicle of the fifteenth aspect, at least one function of the electric component can be limited when the personal information regarding the determined passenger is not stored.

The control system for a human-powered vehicle of the sixteenth aspect according to any one of the eleventh to thirteenth aspects of the present disclosure, further including a fourth storage section that stores personal information regarding the occupant, wherein the electrical component is the The control unit includes a switching unit that switches between a regulation state in which the traveling of the human-powered vehicle is restricted and a permissive state in which the traveling of the human-powered vehicle is permitted, and the control unit is the individual regarding the passenger determined by the artificial intelligence processing unit. When the information is not stored in the fourth storage unit, the switching unit is operated in the restricted state.
According to the control system of the human-powered vehicle of the sixteenth aspect, the travel of the human-powered vehicle can be restricted when the personal information regarding the determined passenger is not stored in the fourth storage unit.

The occupant determination device for a human-powered vehicle and the control system for a human-powered vehicle according to the present disclosure can contribute to usability.

1 is a side view of a human-powered vehicle including a control system for a human-powered vehicle according to a first embodiment. The block diagram which shows the electric constitution of the control system of the manual drive vehicle of 1st Embodiment. 4 is a flowchart of processing executed by the artificial intelligence processing unit of FIG. 3 for extracting characteristics of change in state information. 4 is a flowchart of a process of determining an occupant, which is executed by the artificial intelligence processing unit of FIG. 3. 4 is a flowchart of processing executed by the control unit of FIG. 3 to control electric components according to passengers. 4 is a flowchart of a process of switching a control state of an electric component, which is executed by the control unit of FIG. The block diagram which shows the electric constitution of the control system of the human powered vehicle of 2nd Embodiment. The flowchart of the process which produces the specific information performed by the artificial intelligence process part of FIG. 8 is a flowchart of processing executed by the artificial intelligence processing unit shown in FIG. 7 to determine a passenger. The block diagram which shows the electric constitution of the control system of the human powered vehicle of 3rd Embodiment. 11 is a flowchart of a process executed by the control unit of FIG. 10 to control an electric component according to a passenger. The block diagram which shows the electric constitution of the control system of the human powered vehicle of 4th Embodiment. 13 is a flowchart of a process of switching the control state of the electric component, which is executed by the control unit of FIG. 12. The flowchart of the process which switches the control state of the electrical component performed by the control part of a 1st modification.

As used herein, the expression "at least one" means "one or more" of the desired options. As an example, the expression "at least one" as used herein means "only one option" or "both two options" if the number of options is two. As another example, the expression "at least one" as used herein means "only one option" or "a combination of any two or more options" if the number of options is three or more. Means

(First embodiment)
With reference to FIGS. 1 to 6, a control system 20 of the human-powered vehicle 10 including a passenger determination device 30 of the human-powered vehicle 10 according to the first embodiment will be described. The passenger determination device 30 performs information processing regarding the human-powered vehicle 10. The human-powered vehicle 10 is a vehicle that can be driven by at least a human-powered driving force. The human-powered vehicle 10 is not limited in the number of wheels, and includes, for example, a vehicle having one wheel and three or more wheels. The human-powered vehicle 10 includes various types of bicycles such as a mountain bike, a road bike, a city bike, a cargo bike, and a recumbent, and an electric bicycle (E-bike). The electric bicycle includes an electric assist bicycle that assists propulsion of the vehicle with an electric motor. Hereinafter, in the embodiment, the human-powered vehicle 10 will be described as a bicycle.

The control system 20 of the human-powered vehicle 10 responds to the occupant determination device 30, the electrical component 22 provided in the human-powered vehicle 10, and the occupant determined by the artificial intelligence processing unit 32 of the occupant determination device 30. A control unit 24 for controlling the electrical component 22. Control system 20 preferably further includes a battery 26.

The battery 26 includes one or more battery cells. The battery cell includes a rechargeable battery. The battery 26 supplies electric power to other electric components provided in the human-powered vehicle 10 and electrically connected to the battery 26 by wire, for example, the electric component 22, the control unit 24, and the occupant determination device 30. To do. The battery 26 is connected to the control unit 24 so as to be able to communicate by wire or wirelessly. The battery 26 can communicate with the control unit 24 by, for example, power line communication (PLC). The battery 26 may be attached to the outside of the frame 12 of the human-powered vehicle 10, or at least a part thereof may be housed inside the frame 12.

The electric component 22 includes at least one of a motor 22A, a transmission 22B, an electric seat post 22C, and an electric suspension 22D that assist the propulsion of the human-powered vehicle 10.

The motor 22A is preferably provided in the same housing as the drive circuit of the motor 22A. The drive circuit controls the electric power supplied from the battery 26 to the motor 22A. The drive circuit is communicatively connected to the control unit 24 by wire or wirelessly. The drive circuit can communicate with the control unit 24 by serial communication, for example. The drive circuit drives the motor 22A according to the control signal from the control unit 24. The motor 22A assists the propulsion of the human-powered vehicle 10. The motor 22A includes an electric motor. The motor 22A is provided so as to transmit the rotation to the power transmission path of the human driving force from the pedal to the rear wheel 14 or to the front wheel 16. The motor 22A is provided on at least one of the frame 12, the rear wheels 14, and the front wheels 16 of the human-powered vehicle 10. In one example, the motor 22A is coupled to the power transmission path from the crankshaft 13A to the first rotating body. The power transmission path between the motor 22A and the crankshaft 13A has a first one-way path so that the motor 22A does not rotate due to the rotational force of the crank 13 when the crankshaft 13A is rotated in the direction in which the human-powered vehicle 10 moves forward. A clutch is preferably provided. A configuration other than the motor 22A and the drive circuit may be provided in the housing in which the motor 22A and the drive circuit are provided. For example, a speed reducer that decelerates and outputs the rotation of the motor 22A may be provided. The motor 22A constitutes a part of the drive unit.

The transmission 22B is configured to stepwise change the ratio of the rotational speed of the driving wheels to the rotational speed of the rotating body to which the human-powered driving force is input. The rotating body to which the human-powered driving force is input includes the crank 13. The transmission 22B is configured to be driven by an electric actuator. The control unit 24 controls the electric actuator. The transmission 22B constitutes a transmission together with the electric actuator. The electric actuator includes an electric motor. The transmission 22B is used to change the ratio of the rotational speed of the drive wheels to the rotational speed of the crank 13. In the present embodiment, the transmission 22B is configured to change the ratio stepwise. The electric actuator causes the transmission 22B to perform a shifting operation. The transmission 22B is controlled by the control unit 24. The electric actuator is communicably connected to the control unit 24 by wire or wirelessly. The electric actuator can communicate with the control unit 24 by, for example, power line communication (PLC). The electric actuator causes the transmission 22B to perform a shift operation in response to a control signal from the control unit 24. The transmission 22B includes at least one of an internal transmission and an external transmission (derailleur). The external transmission includes at least one of a front derailleur and a rear derailleur.

The electric suspension 22D includes at least one of a rear suspension 23A and a front suspension 23B. The electric suspension 22D absorbs a shock applied to the wheels.

The rear suspension 23A is configured to be provided on the frame 12 of the human-powered vehicle 10. More specifically, the rear suspension 23A is connected to the frame body 12A and the swing arm 12B that supports the rear wheel 14. The rear suspension 23A absorbs an impact applied to the rear wheel 14. The rear suspension 23A may be a hydraulic suspension or an air suspension. The rear suspension 23A includes a first portion and a second portion that is fitted into the first portion and is movable relative to the first portion. The operating state of the rear suspension 23A includes a locked state in which relative movement of the first portion and the second portion is restricted, and an unlocked state in which relative movement of the first portion and the second portion is allowed. The rear suspension 23A further includes an actuator. The actuator includes, for example, an electric motor. The actuator switches the operating state of the rear suspension 23A. The locked state of the rear suspension 23A may include a state in which the first portion and the second portion slightly move relative to each other when a strong force is applied to the rear suspension 23A.

The front suspension 23B is configured to be provided between the frame 12 and the front wheels 16 of the human-powered vehicle 10. More specifically, the front suspension 23B is provided on the front fork 12C. The front suspension 23B absorbs the impact applied to the front wheels 16. The front suspension 23B may be a hydraulic suspension or an air suspension. The front suspension 23B includes a first portion and a second portion fitted into the first portion and movable relative to the first portion. The operating state of the front suspension 23B includes a locked state in which relative movement between the first portion and the second portion is restricted and an unlocked state in which relative movement between the first portion and the second portion is allowed. The front suspension 23B further includes an actuator. The actuator includes, for example, an electric motor. The actuator switches the operating state of the front suspension 23B. The locked state of the front suspension 23B may include a state in which the first portion and the second portion slightly move when a strong force is applied to the front suspension 23B.

The control system 20 of the human-powered vehicle 10 further includes an operating device 25. The operation device 25 is connected to the control unit 24 so as to be able to communicate by wire or wirelessly. The operation device 25 can communicate with the control unit 24 by, for example, power line communication (PLC). The operation device 25 includes, for example, an operation member, a detection unit that detects a movement of the operation member, and an electric circuit that communicates with the control unit 24 according to an output signal of the detection unit. When the operation member is operated by the user, the electric circuit transmits a signal according to the output signal of the detection unit to the control unit 24. The operation member and the detection unit that detects the movement of the operation member are configured to include a push switch, a lever switch, or a touch panel. The operating device 25 is provided, for example, on the handlebar. When the operating device 25 is communicably connected to the control unit 24 wirelessly, the operating device 25 includes a wireless communication unit. The operating device 25 includes a first operating device 25A for operating the transmission 22B, a second operating device 25B for changing the operating state of the motor 22A that assists the propulsion of the human-powered vehicle 10, and an operation of the electric seat post 22C. At least one of the third operating device 25C for changing the state and the fourth operating device 25D for changing the operating state of the electric suspension 22D is included. The first operating device 25A includes, for example, an operating member for changing the gear ratio. The second operating device 25B includes, for example, an operating member for changing the operation mode of the drive unit. The third operating device 25C includes, for example, an operating member for changing the height of the electric seat post 22C. The fourth operating device 25D includes, for example, an operating member for changing the hardness of the electric suspension 22D.

The control system 20 of the human-powered vehicle 10 may further include a display device 27. The display device 27 may be included in at least one of a smartphone, a tablet computer, and a cycle computer.

The passenger determination device 30 illustrated in FIG. 2 includes a detection unit 34 and an artificial intelligence processing unit 32. The detection unit 34 detects state information related to at least one of a state of the human-powered vehicle 10 during traveling of the human-powered vehicle 10 and a state of a passenger of the human-powered vehicle 10. The artificial intelligence processing unit 32 determines the occupant according to the state information detected by the detection unit 34. The output of the detection unit 34 may be input to the artificial intelligence processing unit 32, or may be input to the artificial intelligence processing unit 32 via another device. Another device is, for example, a control unit 24 for controlling the electrical component 22.

The artificial intelligence processing unit 32 is preferably configured to be provided in the human-powered vehicle 10. The artificial intelligence processing unit 32 may be directly attached to the frame 12, may be included in the electric component 22, may be included in the battery 26, or may be included in the smartphone. The artificial intelligence processing unit 32 may be included in at least one of a tablet computer and a cycle computer instead of or in addition to the smartphone. The artificial intelligence processing unit 32 is preferably provided in at least one housing of a smartphone, a tablet computer, and a cycle computer. At least one of the artificial intelligence processing unit 32 and the human-powered vehicle 10 is preferably provided with a mounting portion for mounting the artificial intelligence processing unit 32 on the human-powered vehicle 10. The attachment portion detachably attaches the artificial intelligence processing unit 32 to the human-powered vehicle 10. The artificial intelligence processing unit 32 may be non-detachably provided on the human-powered vehicle 10.

The artificial intelligence processing unit 32 includes an arithmetic processing unit 32A that executes a predetermined control program. The arithmetic processing unit 32A includes, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). The arithmetic processing unit 32A preferably includes a GPU (Graphics Processing Unit) in addition to the CPU or MPU. The arithmetic processing unit 32A may include an FPGA (Field-Programmable Gate Array). The artificial intelligence processing unit 32 may include one or more arithmetic processing devices 32A. The artificial intelligence processing unit 32 may include a plurality of arithmetic processing devices 32A that are arranged at a plurality of locations apart from each other.

The artificial intelligence processing unit 32 further includes a first storage unit 32B. The first storage unit 32B stores a predetermined control program P1, learning program P2, and learning model M1. The first storage unit 32B includes, for example, a non-volatile memory and a volatile memory. Based on the learning program P2, the artificial intelligence processing unit 32 updates the learning model M1 for discriminating the passenger according to the input state information by the learning algorithm. Learning algorithms include machine learning, deep learning, or deep reinforcement learning. The learning algorithm includes at least one of supervised learning, unsupervised learning, and reinforcement learning, for example. As the learning algorithm, a method other than the method described in this specification may be used as long as it is configured to update the learning model M1 using a method belonging to the field of artificial intelligence. The learning process for updating the learning model M1 is preferably performed by the GPU. The learning algorithm may use a neural network (hereinafter referred to as NN). The learning algorithm may use a recurrent neural network.

The artificial intelligence processing unit 32 preferably operates in the learning mode and the control mode. The artificial intelligence processing unit 32 operates in the control mode when power is supplied. The artificial intelligence processing unit 32 can be operated in the learning mode by inputting predetermined information to the input unit 36, for example. The predetermined information includes a password, for example. The artificial intelligence processing unit 32 may be operated in the learning mode by performing an operation of setting the learning mode on the operation device 25, for example. When operating in the learning mode, the artificial intelligence processing unit 32 functions as a creating unit that creates the learning model M1 by the learning algorithm based on the learning program P2. When operating in the control mode, the artificial intelligence processing unit 32 functions as a control unit that outputs information output by processing the information acquired by the detection unit 34 using the learning model M1 based on the control program P1. To do.

The state of the human-powered vehicle 10 includes at least one of the rotation speed of the crank 13 of the human-powered vehicle 10, the human-powered driving force input to the crank 13, and the vehicle speed of the human-powered vehicle 10. When the detection unit 34 detects the state of the human-powered vehicle 10, the detection unit 34 includes at least one of a crank rotation sensor 34A, a torque sensor 34B, and a vehicle speed sensor 34C.

When the state of the human-powered vehicle 10 includes the rotation speed of the crank 13, the detection unit 34 preferably includes a crank rotation sensor 34A. The crank rotation sensor 34A detects information about the rotation speed of the crank 13. The crank rotation sensor 34A is attached to the frame of the human-powered vehicle 10 or a housing provided with a motor. The crank rotation sensor 34A includes a magnetic sensor that outputs a signal according to the strength of the magnetic field. An annular magnet whose magnetic field strength changes in the circumferential direction is provided in the crankshaft 13A, a member that rotates in conjunction with the crankshaft 13A, or a power transmission path between the crankshaft 13A and the front sprocket 17. The magnet outputs a signal according to the rotation speed of the crank 13. The crank rotation sensor 34A may be provided in a member that rotates integrally with the crankshaft 13A in the power transmission path of the human-powered driving force from the crankshaft 13A to the front sprocket 17. For example, the magnet may be provided on the front sprocket 17 when the second one-way clutch is not provided between the crankshaft 13A and the front sprocket 17. The crank rotation sensor 34A may include an optical sensor, an acceleration sensor, a torque sensor, or the like instead of the magnetic sensor.

When the state of the human-powered vehicle 10 includes the human-powered driving force input to the crank 13, the detection unit 34 preferably includes a torque sensor 34B. The torque sensor 34B detects information about the torque of the human-powered driving force input to the crank 13. For example, when the second one-way clutch is provided on the power transmission path, the torque sensor 34B is provided on the upstream side of the power transmission path with respect to the second one-way clutch. The torque sensor 34B includes a strain sensor, a magnetostrictive sensor, a pressure sensor, or the like. The strain sensor includes a strain gauge. The torque sensor 34B is provided in the member included in the power transmission path or in the vicinity of the member included in the power transmission path. The member included in the power transmission path is, for example, the crankshaft 13A, the crank arm, or the pedal. The torque sensor 34B may include a wireless or wired communication unit. The human-powered driving force may include the power of the human-powered driving force. In this case, the detection unit 34 preferably includes a torque sensor 34B and a crank rotation sensor 34A.

When the state of the manually driven vehicle 10 includes the vehicle speed of the manually driven vehicle 10, the detection unit 34 preferably includes a vehicle speed sensor 34C. The vehicle speed sensor 34C detects information about the rotation speed of the wheels of the human-powered vehicle 10. The vehicle speed sensor 34C outputs a signal according to the rotation speed of the wheels. The vehicle speed of the human-powered vehicle can be calculated based on the rotation speed of the wheels. The vehicle speed sensor 34C preferably includes a magnetic reed that constitutes a reed switch or a hall element. The vehicle speed sensor 34C may be attached to the chain stay of the frame of the human-powered vehicle 10 to detect the magnet attached to the rear wheel 14, or may be provided to the front fork 12C and detect the magnet attached to the front wheel 16. May be

The state of the occupant includes at least one of the posture of the occupant and the weight of the occupant. The state of the occupant includes at least one of the posture of the occupant at a predetermined time point, the weight of the occupant at the predetermined time point, a change in the posture of the occupant, and a weight shift of the occupant. When the detection unit 34 detects at least one of the posture of the occupant and the weight of the occupant, the detection unit 34 preferably includes at least one of the load sensor 34D and the load sensor 34E.

When the occupant's state includes the occupant's posture and changes in the posture, the detection unit 34 preferably includes a load sensor 34D. The load sensor 34D outputs a signal according to the posture of the passenger. The load sensor 34D is provided on at least one of the saddle and the seat post, for example. In particular, the output of the load sensor 34D greatly changes depending on whether the passenger is rowing or sitting down. The load applied to the saddle and the seat post by the passenger varies depending on the posture of the passenger. Therefore, the posture of the occupant is detected by the output of the load sensor 34D. A camera may be used instead of the load sensor 34D to detect the posture of the occupant.

When the occupant's condition includes the occupant's weight and weight shift, the detection unit 34 preferably includes a load sensor 34E. The load sensor 34E outputs a signal according to the weight of the passenger. The load sensor 34E is provided, for example, on at least one of a saddle, a seat post, and an axle. The load sensor 34E may be configured separately from the load sensor 34D or may be configured by the load sensor 34D.

The occupant determination device 30 may further include an input unit 36 for inputting personal information regarding the occupant. The input unit 36 includes at least one of a touch panel, a keyboard, and buttons. The artificial intelligence processing unit 32 constructs a process for identifying a passenger according to the personal information input from the input unit 36 and the state information detected by the detection unit 34. The personal information preferably includes identification information. The identification information preferably includes at least one of numbers and letters. The personal information may include a password. The artificial intelligence processing unit 32 learns the characteristic of the change in the state information detected by the detection unit 34. The artificial intelligence processing unit 32 may learn the feature of the change each time the detection unit 34 detects the state information, acquires the history of the state information detected by the detection unit 34, and according to the history of the state information. The characteristics of change may be learned. When the artificial intelligence processing unit 32 learns the characteristic of change according to the history of state information, the control system 20 preferably includes a storage unit that stores the history of state information.

The artificial intelligence processing unit 32 further includes a first storage unit 32B that stores learned information. The first storage unit 32B includes, for example, a non-volatile memory. The information learned by the artificial intelligence processing unit 32 stored in the first storage unit 32B includes the learning model M1. For example, the artificial intelligence processing unit 32 creates personal information regarding the determined passenger and stores the personal information in the first storage unit 32B. The personal information about the passenger stored in the first storage unit 32B includes, for example, identification information. When determining the passenger, the artificial intelligence processing unit 32 may display the personal information on the passenger on the display device 27. In this case, the passenger can grasp the personal information about himself/herself.

Preferably, the artificial intelligence processing unit 32 determines that a new passenger is riding in the human-powered vehicle 10 when the passenger cannot be discriminated. For example, when the output information output using the learning model M1 does not correspond to the personal information about the passenger, the artificial intelligence processing unit 32 determines that a new passenger is riding in the human-powered vehicle 10. When the passenger cannot be identified, for example, at least one of the following first, second, and third cases is included. In the first example, the artificial intelligence processing unit 32 stores, in the first storage unit 32B, the passengers and personal information determined in the past in association with each other, and the passengers and the first storage unit 32B determined by the learning model M1. The personal information is specified using the personal information stored in, and the specified personal information is displayed on the display device 27. When the passenger inputs to the input unit 36 that the personal information displayed on the display device 27 is incorrect, the artificial intelligence processing unit 32 determines that the passenger cannot be identified. In the second example, the artificial intelligence processing unit 32 stores the learning model M1 and the personal information stored in the first storage unit 32B in association with the passengers and personal information determined in the past in the first storage unit 32B. When the personal information is specified using, and the specified personal information is different from the personal information input to the input unit 36, the artificial intelligence processing unit 32 determines that the passenger cannot be discriminated. In the third example, the artificial intelligence processing unit 32 stores the predetermined information regarding the passenger determined in the past in the first storage unit 32B, and the predetermined information regarding the passenger determined using the learning model M1 is stored in the first storage unit. When the information is different from the predetermined information regarding any passenger stored in 32B, the artificial intelligence processing unit 32 determines that the passenger cannot be determined. The predetermined information regarding the passenger includes, for example, at least a part of the characteristics of the change in the state information.

With reference to FIG. 3, the process of learning the characteristics of the change in the state information will be described. The process of learning the characteristic of the change in the state information includes the process of updating the learning model M1. When power is supplied to the artificial intelligence processing unit 32 and the learning mode is set, the artificial intelligence processing unit 32 starts the processing and proceeds to step S11 of the flowchart shown in FIG.

The artificial intelligence processing unit 32 determines in step S11 whether personal information is input. For example, when the personal information is input to the input unit 36, the artificial intelligence processing unit 32 determines that the personal information is input. The artificial intelligence processing unit 32 ends the process when personal information is not input. When the personal information is input, the artificial intelligence processing unit 32 proceeds to step S12.

In step S12, the artificial intelligence processing unit 32 learns the characteristic of the change in the state information detected by the detection unit 34, and proceeds to step S13. The artificial intelligence processing unit 32 may move to step S13 when learning of the characteristic of change of the state information is completed, and when the time for learning the characteristic of change of the state information reaches a predetermined time, Alternatively, if the number of times of detection of predetermined information reaches a predetermined number, the process may proceed to step S13. In addition, the artificial intelligence processing unit 32, when the passenger performs an operation for ending the learning of the change characteristic of the state information on the operation device 25, the passenger learns the characteristic of the change of the state information on the input unit 36. When the operation for terminating the operation is performed, or when the human-powered vehicle 10 stops for a predetermined first time or longer, the process may proceed to step S13. The predetermined first time is longer than the time during which the human-powered vehicle 10 is temporarily stopped during traveling. Preferably, the artificial intelligence processing unit 32 shifts from the learning mode to the control mode after step S12.

In step S13, the artificial intelligence processing unit 32 stores the learned information in the first storage unit 32B and ends the process. In step S13, the artificial intelligence processing unit 32 stores the learned learning model M1 in the first storage unit 32B.

The artificial intelligence processing unit 32 may move to step S12 when personal information is not input in step S11 but boarding is started. The boarding start determination may be performed in the same manner as the processing in step S21 of FIG. When the artificial intelligence processing unit 32 starts learning the characteristic of the change in the state information by a method other than the input of the personal information, the input unit 36 may be omitted from the passenger determination device 30. When the learned learning model M1 is stored in the first storage unit 32B, the learning mode may be omitted. When the artificial intelligence processing unit 32 starts learning the characteristics of the change in the state information by a method other than the input of personal information, for example, when boarding is started, the artificial intelligence processing unit 32 may switch to the learning mode. ..

For example, when the artificial intelligence processing unit 32 operates in the learning mode, if the output information output using the learning model M1 does not correspond to the personal information regarding the passenger, for example, “weight” and “bias” in the neural network. The learning model M1 may be updated by adjusting at least one of "". In this case, the artificial intelligence processing unit 32 causes the display device 27 to display the output information output using the learning model M1 after step S13 ends. The output information displayed on the display device 27 preferably includes passenger identification information. The passenger inputs the result of determining whether the output information displayed on the display device 27 is correct, for example, to the input unit 36. For example, when the passenger inputs the determination result that the output information displayed on the display device 27 is not correct, the artificial intelligence processing unit 32 outputs the output information using the learning model M1 as the passenger. It is determined that it does not correspond to the personal information regarding. When the output information output using the learning model M1 does not correspond to the personal information regarding the passenger, the artificial intelligence processing unit 32 adjusts and learns at least one of “weight” and “bias” in the neural network, for example. The model M1 is updated.

The passenger determination process will be described with reference to FIG. When power is supplied to the artificial intelligence processing unit 32, the artificial intelligence processing unit 32 starts the processing and proceeds to step S21 of the flowchart shown in FIG. Even when the learning mode is switched to the control mode, the artificial intelligence processing unit 32 may start the process and proceed to step S21 of the flowchart shown in FIG.

In step S21, the artificial intelligence processing unit 32 determines whether or not boarding has started. For example, the artificial intelligence processing unit 32 operates when the human-powered driving force is input to the crank 13 of the human-powered vehicle 10, when the crank 13 starts rotating, when a load is applied to the saddle, and when the operating device 25 operates. In at least one of the cases described above, the boarding start is determined. When the artificial intelligence processing unit 32 determines that the boarding is not started, the processing ends. When the artificial intelligence processing unit 32 determines that the boarding has started, the artificial intelligence processing unit 32 proceeds to step S22. When the occupant discrimination device 30 or the system including the occupant discrimination device 30 has a switch for switching the power on and off, the artificial intelligence processing unit 32 turns on the power in step S21 to turn on the artificial intelligence. When power is supplied to the processing unit 32, it may be determined that boarding has started.

In step S22, the artificial intelligence processing unit 32 determines the occupant using the learning model M1 and proceeds to step S23. The artificial intelligence processing unit 32 determines in step S23 whether or not the passenger can be identified. For example, when the first example, the second example, or the third example in the case where the passenger cannot be determined, the artificial intelligence processing unit 32 determines that the passenger cannot be determined. The artificial intelligence processing unit 32 ends the process when the passenger can be identified. When the passenger cannot be identified, the artificial intelligence processing unit 32 proceeds to step S24. In step S24, the artificial intelligence processing unit 32 determines that the current passenger is a new passenger, and ends the processing.

As shown in FIG. 2, preferably, the control system 20 further includes a third storage unit 40 that stores the setting information corresponding to the passenger. The control unit 24 controls the electric component 22 according to the setting information corresponding to the passenger determined by the artificial intelligence processing unit 32. The third storage unit 40 includes, for example, a non-volatile memory. The setting information includes, for example, information related to a combination of a parameter relating to at least one of the traveling state and the traveling environment of the human-powered vehicle 10 and the control state of the electric component 22.

A process of controlling the electric component 22 according to a passenger will be described with reference to FIG. When power is supplied to the control unit 24, the control unit 24 starts processing and moves to step S31 of the flowchart shown in FIG. Even when the learning mode is switched to the control mode, the artificial intelligence processing unit 32 may start the process and proceed to step S31 of the flowchart shown in FIG.

The control unit 24 determines in step S31 whether or not the passenger has been discriminated. When the passenger is determined by the determination process of FIG. 4, the control unit 24 determines that the passenger can be determined. If the passenger cannot be discriminated, the control unit 24 ends the process. When the passenger can be discriminated, the control unit 24 proceeds to step S32.

In step S32, the control unit 24 controls the electric component 22 according to the passenger, and ends the process. Specifically, the control unit 24 acquires the setting information corresponding to the passenger from the third storage unit 40, and controls the electric component 22 according to the setting information. When the passenger is not discriminated and when the passenger is discriminated as a new passenger by the discrimination processing of FIG. 4, the artificial intelligence processing unit 32 operates on the basis of the default setting information stored in advance. The component 22 may be controlled.

The electrical component 22 is configured to operate in a first state in which at least one function is restricted and a second state in which at least one function is not restricted, and the control unit 24 controls the artificial intelligence processing unit 32 to operate the occupant. If it is not possible to determine, the electric component 22 may be operated in the first state. When the electric component 22 includes the motor 22A, the control unit 24 prevents the motor 22A from being driven in the first state, for example. When the electric component 22 includes the transmission 22B, the control unit 24 does not change the gear ratio by the transmission 22B in the first state, for example. When the electric component 22 includes the electric seat post 22C, the control unit 24 does not change the height of the seat post in the first state, for example. When the electric component 22 includes the electric suspension 22D, the control unit 24 maintains the locked state in the first state, for example.

The process of changing the operating state of the electrical component 22 will be described with reference to FIG. When power is supplied to the control unit 24, the control unit 24 starts the process and proceeds to step S41 of the flowchart shown in FIG. Even when the learning mode is switched to the control mode, the artificial intelligence processing unit 32 may start the process and proceed to step S41 of the flowchart shown in FIG.

The control unit 24 determines in step S41 whether or not the passenger has been identified. When the passenger is determined by the determination process of FIG. 4, the control unit 24 determines that the passenger can be determined. If the passenger cannot be discriminated, the control unit 24 ends the process. When the passenger can be discriminated, the control unit 24 proceeds to step S42. The control part 24 operates the electric component 22 in a 2nd state in step S42.

When the passenger is not determined in step S41, the control unit 24 proceeds to step S43. The control unit 24 operates the electric component 22 in the first state in step S43. The control unit 24 may also proceed to step S43 when the passenger is determined to be a new passenger by the determination processing of FIG.

(Second embodiment)
The control system 20 of the second embodiment will be described with reference to FIGS. 7 to 9. The control system 20 of the second embodiment is the same as the control system 20 of the first embodiment except that the artificial intelligence processing unit 32 learns the characteristics of the change in the state information in association with the personal information. Therefore, the same components as those in the first embodiment will be denoted by the same reference numerals as those in the first embodiment, and redundant description will be omitted.

The artificial intelligence processing unit 32 shown in FIG. 7 learns the characteristics of the change in the state information detected by the detection unit 34 in association with the personal information. The artificial intelligence processing unit 32 further includes a second storage unit 44 that stores the learned information. The second storage unit 44 includes, for example, a non-volatile memory. The information learned by the artificial intelligence processing unit 32 stored in the second storage unit 44 includes the learning model M2 for distinguishing a plurality of passengers.

With reference to FIG. 8, a process of learning the characteristics of the change in the state information for each passenger will be described. The process of learning the characteristics of the change in the state information for each passenger includes the process of updating the learning model M2. When power is supplied to the artificial intelligence processing unit 32 and the learning mode is set, the artificial intelligence processing unit 32 starts the process and proceeds to step S51 of the flowchart shown in FIG.

The artificial intelligence processing unit 32 determines whether or not the personal information is input in step S51. The artificial intelligence processing unit 32 ends the process when personal information is not input. If the personal information is input, the artificial intelligence processing unit 32 proceeds to step S52.

In step S52, the artificial intelligence processing unit 32 learns the characteristic of the change in the state information detected by the detection unit 34, and proceeds to step S53. The artificial intelligence processing unit 32 may move to step S53 when learning of the characteristic of the change of the state information is completed, and when the time for learning the characteristic of the change of the state information reaches a predetermined time, Alternatively, when the number of times of detection of predetermined information reaches a predetermined number, the process may move to step S53. In addition, the artificial intelligence processing unit 32 performs step S53 when the occupant operates the operation device 25 to end the learning of the characteristics of the change in the state information and when the human-powered vehicle 10 stops for a predetermined time or more. You may make it shift to.

In step S53, the artificial intelligence processing unit 32 stores the learned information in the second storage unit 44 and ends the process. The artificial intelligence processing unit 32 stores the learned learning model M2 in the second storage unit 44 in step S53.

For example, when the artificial intelligence processing unit 32 operates in the learning mode, when the output information output using the learning model M2 does not correspond to the personal information regarding the passenger, for example, “weight” and “bias” in the neural network. The learning model M2 may be updated by adjusting at least one of "". In this case, the artificial intelligence processing unit 32 causes the display device 27 to display the output information output using the learning model M2 after step S53 is completed. The output information displayed on the display device 27 preferably includes passenger identification information. The passenger inputs the result of determining whether the output information displayed on the display device 27 is correct, for example, to the input unit 36. For example, when the passenger inputs the determination result that the output information displayed on the display device 27 is not correct, the artificial intelligence processing unit 32 outputs the output information using the learning model M2 as the passenger. It is determined that it does not correspond to personal information regarding. When the output information output using the learning model M2 does not correspond to the personal information about the passenger, the artificial intelligence processing unit 32 adjusts and learns at least one of “weight” and “bias” in the neural network, for example. Update the model M2.

The passenger determination process will be described with reference to FIG. 9. When power is supplied to the artificial intelligence processing unit 32, the artificial intelligence processing unit 32 starts the process and proceeds to step S61 of the flowchart shown in FIG.

In step S61, the artificial intelligence processing unit 32 determines whether or not boarding has started. For example, the artificial intelligence processing unit 32 operates when the human-powered driving force is input to the crank 13 of the human-powered vehicle 10, when the crank 13 starts rotating, when a load is applied to the saddle, and when the operating device 25 operates. In at least one of the cases described above, the boarding start is determined. When the artificial intelligence processing unit 32 determines that the boarding is not started, the processing ends. When the artificial intelligence processing unit 32 determines that the boarding has started, the artificial intelligence processing unit 32 proceeds to step S62. If the occupant discrimination device 30 or the system including the occupant discrimination device 30 has a switch for switching the power on and off, the artificial intelligence is activated when the power is turned on and power is supplied to the artificial intelligence processing unit 32. The processing unit 32 may determine that the boarding has started in step S61.

In step S62, the artificial intelligence processing unit 32 determines the occupant using the learning model M2, and proceeds to step S63. The artificial intelligence processing unit 32 determines in step S63 whether or not the passenger has been identified. For example, when the first example, the second example, or the third example in the case where the passenger cannot be determined, the artificial intelligence processing unit 32 determines that the passenger cannot be determined. The artificial intelligence processing unit 32 ends the process when the passenger can be identified. If the occupant cannot be identified, the artificial intelligence processing unit 32 proceeds to step S64. In step S64, the artificial intelligence processing unit 32 determines that the current passenger is a new passenger, and ends the processing.

The control unit 24 may control the electric component 22 according to the occupant determined by the process of FIG. 9. For example, in the processing of step S31 of FIG. 5 and step S41 of FIG. 6 of the first embodiment, the control unit 24 makes an affirmative determination when the passenger is determined by the processing of FIG.

(Third Embodiment)
A control system 20 of the third embodiment will be described with reference to FIGS. 10 and 11. The control system 20 of the third embodiment is the same as the control system 20 of the first embodiment, except that the electric component 22 is the electric component 22 including the switching unit 46. The common configurations are given the same reference numerals as those in the first embodiment, and duplicated description will be omitted.

The electric component 22 shown in FIG. 10 includes a switching unit 46 that switches between a regulation state in which the traveling of the human-powered vehicle 10 is regulated and an allowable state in which the traveling of the human-driven vehicle 10 is permitted. When the artificial intelligence processing unit 32 cannot identify the occupant, the control unit 24 operates the switching unit 46 in the restricted state.

The switching unit 46 is configured to include, for example, the lock device 22E. In this case, the electrical component 22 includes a locking device 22E. The lock device 22E preferably includes an electric actuator that switches between a restricted state and a permitted state. The lock device 22E is provided on at least one of the frame 12 of the human-powered vehicle 10 and the drive unit. In the restricted state, the switching unit 46 is preferably configured to restrict the rotation of at least one of the rear wheel 14, the front wheel 16, and the crankshaft 13A. The switching unit 46 may be configured to prohibit the rotation of at least one of the rear wheel 14, the front wheel 16, and the crankshaft 13A in the restricted state, or may be configured to brake the rotation. The switching unit 46 is configured not to restrict the rotation of the rear wheel 14, the front wheel 16, and the crankshaft 13A when the switching unit 46 is not in the allowable state.

The switching unit 46 is preferably configured to be able to switch between the regulated state and the permitted state by an electronic key for switching between the regulated state and the permitted state or the operating device 25.

Processing for switching the state of the switching unit 46 will be described with reference to FIG. 11. When power is supplied to the control unit 24, the control unit 24 starts the process and proceeds to step S71 of the flowchart shown in FIG.

The control unit 24 determines in step S71 whether or not the passenger can be identified. The control unit 24 determines that the occupant can be discriminated, for example, when the occupant is discriminated by the discrimination processing of FIG. When the control unit 24 determines that the passenger can be identified, the control unit 24 proceeds to step S72. In step S72, the control unit 24 operates the switching unit 46 in the allowed state, and ends the process. When the switching unit 46 is in the permitting state, the control unit 24 maintains the permitting state of the switching unit 46.

When the control unit 24 determines in step S71 that the passenger cannot be determined, the control unit 24 proceeds to step S73. In step S73, the control unit 24 operates the switching unit 46 in the restricted state and ends the process.

(Fourth Embodiment)
A control system 20 of the fourth embodiment will be described with reference to FIGS. 12 and 13. The control system 20 of the fourth embodiment is the same as the control system 20 of the first embodiment, except that the electrical component 22 is controlled according to the personal information stored in the fourth storage unit 48. The same components as those in the first embodiment are designated by the same reference numerals as those in the first embodiment, and the duplicated description will be omitted.

The control system 20 further includes a fourth storage unit 48 that stores personal information about passengers. The fourth storage unit 48 includes, for example, a non-volatile memory. The fourth storage unit 48 may be independent of the first storage unit 32B, or may be integrally formed with the first storage unit 32B. The electrical component 22 is configured to operate in a first state in which at least one function is restricted and a second state in which at least one function is not restricted. When the personal information regarding the passenger determined by the artificial intelligence processing unit 32 is not stored in the fourth storage unit 48, the control unit 24 operates the electric component 22 in the first state. Preferably, the control unit 24 operates the electrical component 22 in the second state when the personal information regarding the passenger determined by the artificial intelligence processing unit 32 is stored in the fourth storage unit 48.

The process of switching the state of the electrical component 22 will be described with reference to FIG. When power is supplied to the control unit 24, the control unit 24 starts the process and proceeds to step S81 in the flowchart shown in FIG. Even when the learning mode is switched to the control mode, the artificial intelligence processing unit 32 may start the process and proceed to step S81 of the flowchart shown in FIG.

In step S81, the control unit 24 determines whether or not the personal information regarding the determined passenger is stored in the fourth storage unit 48. If the personal information regarding the determined passenger is stored in the fourth storage unit 48, the control unit 24 proceeds to step S82. The control part 24 operates the electric component 22 in a 2nd state in step S82, and complete|finishes a process.

In step S81, the control unit 24 proceeds to step S83 when the determined personal information regarding the passenger is not stored in the fourth storage unit 48. The control part 24 operates the electric component 22 in a 1st state in step S83, and complete|finishes a process.

(Modification)
The description of the embodiment is an example of a form that the occupant determination device for a human-powered vehicle and the control system for a human-powered vehicle according to the present invention can take, and is not intended to limit the form. The occupant determination device for a human-powered vehicle and the control system for a human-powered vehicle according to the present invention may take, for example, a modified example of the embodiment described below and a form in which at least two modified examples that do not contradict each other are combined. .. In the following modified examples, the same parts as those of the embodiment are designated by the same reference numerals and the description thereof will be omitted.

The control system 20 of the third embodiment further includes a fourth storage unit 48 similar to that of the fourth embodiment, and the electric component 22 controls the travel of the human-powered vehicle 10 and the travel of the human-powered vehicle 10. When the personal information regarding the passenger determined by the artificial intelligence processing unit 32 is not stored in the fourth storage unit 48, the control unit 24 switches the switching unit 46. It may be operated in a restricted state. In this case, the control unit 24 can execute the process of switching the state of the electric component 22 of FIG. When power is supplied to the control unit 24, the control unit 24 starts the process and proceeds to step S91 in the flowchart shown in FIG. Even when the learning mode is switched to the control mode, the artificial intelligence processing unit 32 may start the process and proceed to step S91 of the flowchart shown in FIG.
In step S91, the control unit 24 determines whether or not the personal information regarding the determined passenger is stored in the fourth storage unit 48. The control unit 24 proceeds to step S92 when the personal information regarding the determined passenger is stored in the fourth storage unit 48. In step S92, the control unit 24 operates the switching unit 46 in the allowance state, and ends the process.
When the personal information regarding the determined passenger is not stored in the fourth storage unit 48 in step S91, the control unit 24 proceeds to step S93. In step S93, the control unit 24 operates the switching unit 46 in the restricted state and ends the process.

The artificial intelligence processing unit 32 may be configured to operate without distinguishing between the learning mode and the control mode. In this case, the artificial intelligence processing unit 32 starts learning when boarding is started or by inputting predetermined information to the input unit 36, for example. The artificial intelligence processing unit 32 continues learning until the driving of the human-powered vehicle 10 stops. In this case, the artificial intelligence processing unit 32 may perform the process of determining the occupant and the process of using the determination result of the occupant while the learning is being performed.

10... Human-powered vehicle, 13... Crank, 20... Human-powered vehicle control system, 22... Electric component, 22A... Motor, 22B... Transmission, 22C... Electric seat post, 22D... Electric suspension, 24... Control section, 30 ... Passenger discrimination device for human-powered vehicle, 32... Artificial intelligence processing unit, 34... Detection unit, 36... Input unit, 32B... First storage unit, 40... Third storage unit, 44... Second storage unit, 46... Switching unit, 48... Fourth storage unit.

Claims (16)

A detection unit that detects state information related to at least one of a state of the human-powered vehicle and a state of an occupant of the human-powered vehicle while the human-powered vehicle is traveling;
An occupant determination device for a human-powered vehicle that includes an artificial intelligence processing unit that determines the occupant according to the state information detected by the detection unit. Further comprising an input unit for inputting personal information regarding the passenger,
The artificial intelligence processing unit constructs a process for discriminating the occupant according to the personal information input from the input unit and the state information detected by the detection unit. An occupant identification device for the human-powered vehicle described. The occupant determination device for a human-powered vehicle according to claim 1 or 2, wherein the artificial intelligence processing unit learns a characteristic of a change in the state information detected by the detection unit. The occupant determination device for a human-powered vehicle according to claim 3, wherein the artificial intelligence processing unit further includes a first storage unit that stores learned information. The occupant determination device for a human-powered vehicle according to claim 2, wherein the artificial intelligence processing unit learns the characteristic of the change in the state information detected by the detection unit in association with the personal information. The occupant determination device for a human-powered vehicle according to claim 5, wherein the artificial intelligence processing unit further includes a second storage unit that stores learned information. The artificial intelligence processing unit determines that a new passenger is boarding the human-powered vehicle when the passenger cannot be determined, and the artificial-powered vehicle according to any one of claims 1 to 6. Passenger identification device. 8. The state of the human-powered vehicle includes at least one of a rotational speed of a crank of the human-powered vehicle, a human-powered driving force input to the crank, and a vehicle speed of the human-powered vehicle. An occupant discrimination device for a human-powered vehicle as described in 1 above. The occupant determination device for a human powered vehicle according to any one of claims 1 to 8, wherein the occupant state includes at least one of the occupant's posture and the occupant's weight. An occupant determination device for a human-powered vehicle according to any one of claims 1 to 9,
Electrical components provided on the powered vehicle,
A control system for a human-powered vehicle, comprising: a control unit that controls the electric component according to the occupant determined by the artificial intelligence processing unit. A third storage unit that stores setting information corresponding to the passenger,
The control system for a human-powered vehicle according to claim 10, wherein the control unit controls the electric component according to the setting information corresponding to the passenger determined by the artificial intelligence processing unit. The control system for a human-powered vehicle according to claim 11, wherein the electric component includes at least one of a motor, a transmission, an electric seat post, and an electric suspension that assists in propulsion of the human-powered vehicle. The electrical component is configured to operate in a first state in which at least one function is restricted and a second state in which the at least one function is not restricted;
The control system for a human-powered vehicle according to claim 11 or 12, wherein the control unit operates the electric component in the first state when the artificial intelligence processing unit cannot determine the occupant. The electric component includes a switching unit that switches between a regulation state that regulates the traveling of the human-powered vehicle and a permission state that permits the traveling of the human-driven vehicle,
The control system for the human-powered vehicle according to any one of claims 11 to 13, wherein the control unit operates the switching unit in a restricted state when the artificial intelligence processing unit cannot identify the occupant. Further comprising a fourth storage unit for storing personal information regarding the passenger,
The electrical component is configured to operate in a first state in which at least one function is restricted and a second state in which the at least one function is not restricted;
The control unit operates the electric component in the first state when the personal information regarding the passenger determined by the artificial intelligence processing unit is not stored in the fourth storage unit. 12. A control system for a human-powered vehicle according to item 12. Further comprising a fourth storage unit for storing personal information regarding the passenger,
The electric component includes a switching unit that switches between a regulation state that regulates the traveling of the human-powered vehicle and a permission state that permits the traveling of the human-driven vehicle,
The control unit causes the switching unit to operate in a restricted state when the personal information regarding the passenger determined by the artificial intelligence processing unit is not stored in the fourth storage unit. A control system for a human-powered vehicle according to any one of claims.