Toyota Jidosha Kabushiki Kaisha

Masayuki Imaida

Makoto Kobayashi

Issei Nakashima

Hitoshi Konosu

Nobuhisa Otsuki

Hiroshi Shimada

Eiichi Saitoh

Manabu Yamamoto

Yoshinori Fujikake

Taiga Matsumoto

Yo Sato

Hiroaki Daba

Satoshi Hirano

Eisuke Aoki

Shuhei Manabe

Keisuke Suga

Takuma Nakamura

Shigeo Tanabe

Taiki Yoshida

Takuya Iwata

Toru Miyagawa

Masayuki Takashima

Yasuhiro Ebihara

Hiroki Tanikawa

Koji Osawa

Takeru Fukagawa

Asuka Hirano

Masaki Katoh

Yohei Otaka

A learning unit of a learning system generates the following learning model. That is, this learning model is a model that inputs rehabilitation data for each predetermined period and predicts a change in index data, the rehabilitation data being data about rehabilitation performed by a trainee using a rehabilitation support system, the index data indicating at least one of a symptom, a physical ability, and a degree of recovery of the trainee. This rehabilitation data includes at least the index data and training data of the trainee, the training data being acquired during the rehabilitation in the rehabilitation support system. Further, the learning unit generates the learning model by using, as teacher data, data obtained in a period until the index data reaches a predetermined target level.

Learning system, rehabilitation support system, method, program, and trained model

A learning apparatus, a walking training apparatus, a method, a system, a program, and a trained model for performing walking training at appropriate setting parameters are provided. A learning apparatus according to an embodiment includes: a data acquisition unit configured to acquire rehabilitation data from a walking training apparatus including an actuator configured to assist a walking motion of a trainee and a control unit configured to control the actuator in accordance with a setting parameter; and a data generation unit configured to generate an index indicating a degree of recovery of the trainee and the setting parameter as learning data; and a learning unit configured to generate a learning model that receives the index and outputs a recommended value of the setting parameter by performing machine learning using the learning data.

Learning system, walking training system, system, method, program, and trained model

A motion state monitoring system, a training support system, a motion state monitoring method, and a program capable of suitably managing measurement results according to an attaching direction of a sensor are provided. A motion state monitoring system according to the present disclosure monitors a motion state of a target part of a subject's body. The motion state monitoring system includes an acquisition unit, an attaching direction detection unit, and a control processing unit. The acquisition unit acquires sensing information of a sensor attached to the target part. The attaching direction detection unit detects an attaching direction of the sensor. The control processing unit outputs information related to the sensing information in association with the attaching direction.

Motion state monitoring system, training support system, motion state monitoring method, and program

A learning system, a walking training system, a method, a program, and a trained model for performing walking training at appropriate setting parameters are provided. A learning system according to an embodiment includes: a data acquisition unit configured to acquire rehabilitation data from a walking training system including an actuator configured to assist a walking motion of a trainee and a control unit configured to control the actuator in accordance with a setting parameter; a data generation unit configured to generate the rehabilitation data including detection data and the setting parameter as learning data; and a learning unit configured to perform machine learning using the learning data, thereby generating a learning model that receives the detection data and outputs a recommended value of the setting parameter.

Learning system, walking training system, method, program, and trained model

Appropriate housing equipment according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain the physical ability is easily presented. A housing equipment presentation apparatus includes a storage unit configured to store definition information defining housing equipment information according to a physical ability, an acquisition unit configured to externally acquire physical ability information of a trainee who has performed training in order to restore or maintain his/her physical ability, a conversion unit configured to convert the acquired physical ability information into the housing equipment information based on the definition information, and an output unit configured to output presentation information including the converted housing equipment information.

Housing equipment presentation apparatus, system, method and program

A walking training system according to this embodiment includes a harness, at least three pulling units, and a control unit configured to control the at least three pulling units in such a way that a position of the harness in a horizontal plane becomes a target position. One of the at least three pulling units is a first pulling unit configured to apply a pulling force to the harness from front of the trainee, another one of the at least three pulling units is a second pulling unit configured to apply a pulling force to the harness from rear of the trainee, and another one of the at least three pulling units is a third pulling unit configured to apply a pulling force to the harness from a direction different from the first and second pulling units.

Walking training system and operation method

A gait evaluation apparatus that evaluates a training gait of a paralyzed patient suffering from paralysis in a leg includes an acquisition unit configured to acquire a plurality of motion amounts of a paralyzed body portion according to a gait motion and an evaluation unit configured to evaluate that the gait motion is an abnormal gait in a case where at least one of the motion amounts acquired by the acquisition unit meets any one of a plurality of abnormal gait criteria set in advance. The abnormal gait criteria include at least two or more first criteria, which are criteria relevant to motion amounts of different parts of the paralyzed body portion, or at least two or more second criteria, which are criteria relevant to motion amounts of the same part of the paralyzed body portion in different directions.

Gait evaluation apparatus, gait training system, and gait evaluation method

A walking training system and an operation method capable of performing training effectively are provided. A walking training system according to an embodiment includes a harness attached to a trainee's trunk, a first pulling unit configured to apply a pulling force to the harness from a first direction along a horizontal direction, a second pulling unit configured to apply a pulling force to the harness from a second direction along the horizontal direction, and a control unit configured to control the first and second pulling units.

A walking training system, a harness, and an operation method capable of performing training effectively are provided. A walking training system according to an embodiment includes a harness attached to a trainee's trunk and a pulling unit configured to apply a pulling force to the harness, the harness includes a frame fixed to the trainee's trunk, an attaching member to which the pulling unit is attached, and a guide mechanism configured to enable a position of the frame relative to the attaching member to be variable in an up/down direction.

Walking training system, harness, and operation method

A walk training apparatus includes a walking assist device, a first tensile portion, and a second tensile portion. The walking assist device is configured to be attached to a leg of a user so as to assist the user in walking. The first tensile portion pulls at least one of the walking assist device and the leg of the user toward a vertically upper side and toward a front side. The second tensile portion pulls at least one of the walking assist device and the leg of the user toward the vertically upper side and toward a rear side.

Walk training apparatus and walk training method thereof

A walking training system includes a walking assistance apparatus that is mounted on a leg portion of a user, and assists the user's walking, first pulling means for pulling at least one of the walking assistance apparatus and the leg portion of the user to a front side; and second pulling means for pulling at least one of the walking assistance apparatus and the leg portion of the user to a rear side. A pulling point of the walking assistance apparatus and/or the leg portion of the user, which is pulled by the first and second pulling means is provided to be movable around the leg portion of the user.

Walking training system and walking training method of the same

A gait training apparatus includes: a walking assistance device that is attached to a leg portion of a user and assists walking of the user; a peripheral device used for gait training of the user; a control unit that controls the walking assistance device and the peripheral device; and a switching unit that switches the control unit between a cooperative control mode for performing a cooperative control of the walking assistance device and the peripheral device based on information output from the walking assistance device, and an operation mode for controlling the peripheral device based on set operation information. When the control unit is switched to the operation mode by the switching unit, the control unit executes the control of the peripheral device even when the control unit is in a non-connected state with the walking assistance device.

Gait training apparatus and control method therefor

A walking assist device having a safety mechanism that mitigates an impact upon falling is provided. A walking assist device has an upper and lower leg links, a motor, and a controller. The controller controls the motor to apply torque to the lower leg link. The walking assist device also has a one-way damper which generates a resisting force against rotation of the lower leg link in the knee bending direction, and does not generate a resisting force against rotation of the lower leg link in the knee straightening direction. The controller engages the one-way damper while controlling the motor to apply torque to the lower leg link in the knee straightening direction, and disengages the one-way damper while controlling the motor to apply torque to the lower leg link in the knee bending direction.

Walking assist device

A leg assist device having an abnormality management procedure which appropriately adapts to an abnormal situation is provided. The leg assist device is provided with a leg attachment and a controller. The leg attachment comprises upper and a lower links connected with a rotary joint, and an actuator. The upper link is to be attached to the upper leg of the user. The lower link is to be attached to the lower leg of the user. The actuator swings the lower link relative to the upper link. The controller outputs the commands so that the swing angle of the lower link follows a target trajectory. Further, the controller executes a first abnormality management process in which the controller shuts off torque transmission from the actuator to the user when the controller detects an abnormality before outputting the commands to the actuator.

Growing community of inventors

Ichinomiya, Japan

Masayuki Imaida