Abstract: A purely-lateral position estimation unit (1603) estimates as an estimated purely-lateral position, when a disturbance wave to disturb communication performed in a train is generated while the train is traveling, a position existing in a purely-lateral direction with respect to a position of a generation source of the disturbance wave. A feature extraction unit (1604) extracts a feature of a measured reception power value being a reception power value measured in the train during a disturbance wave generation period wherein the disturbance wave has been generated.

Abstract: A list-type detection unit (220) performs list-type detection on communication data so as to detect a fraudulent communication. A machine-learning-type detection unit (230) performs machine-learning-type detection on communication data so as to detect a fraudulent communication. A communication acceptance unit (210) receives communication data from a network, and allocates the received communication data to at least one of the list-type detection unit and the machine-learning-type detection unit, using an allocation filter. A filter setting unit (250) determines a parameter value based on a load status of the list-type detection unit and a load status of the machine-learning-type detection unit, and sets the determined parameter value in the allocation filter.

Abstract: A motion analyzing device includes a myogenic potential measuring unit (20) and a myogenic potential measurement processor (101) to measure the muscle activity of a person who performs a motion and a motion measuring unit (30) and a position measurement processor (102) to measure the body motion. The motion analyzing device also includes an AA muscle co-activation ratio calculating unit (103), a muscle synergy calculating unit (104) and an equilibrium point calculating unit (105) to calculate an equilibrium point of the person and a muscle synergy that is a set of base vectors describing the equilibrium point based on a musculoskeletal model of the person and a constraint condition that the position of the endpoint of the limb matches the position of the equilibrium point in a static situation to keep a posture still under gravity compensation.

Abstract: A list-type detection unit (220) performs list-type detection on communication data so as to detect a fraudulent communication. A machine-learning-type detection unit (230) performs machine-learning-type detection on communication data so as to detect a fraudulent communication. A communication acceptance unit (210) receives communication data from a network, and allocates the received communication data to at least one of the list-type detection unit and the machine-learning-type detection unit, using an allocation filter. A filter setting unit (250) determines a parameter value based on a load status of the list-type detection unit and a load status of the machine-learning-type detection unit, and sets the determined parameter value in the allocation filter.

Abstract: A motion analyzing device includes a myogenic potential measuring unit (20) and a myogenic potential measurement processor (101) to measure the muscle activity of a person who performs a motion and a motion measuring unit (30) and a position measurement processor (102) to measure the body motion. The motion analyzing device also includes an AA muscle co-activation ratio calculating unit (103), a muscle synergy calculating unit (104) and an equilibrium point calculating unit (105) to calculate an equilibrium point of the person and a muscle synergy that is a set of base vectors describing the equilibrium point based on a musculoskeletal model of the person and a constraint condition that the position of the endpoint of the limb matches the position of the equilibrium point in a static situation to keep a posture still under gravity compensation.

Abstract: A video delivery apparatus includes: a division unit to divide video information corresponding to one screen, which is to be delivered to each of multiple display modules constituting a display, into pieces of video information each corresponding to the number of output lines, which is N times (N is an integer of one or greater) a line indicating pixels per one line of the corresponding display module, and output the pieces of video information corresponding to the number of output lines for each of the multiple display modules; and a delivery processor to deliver the video information corresponding to one screen of the display by repetitively delivering, to the multiple display modules, delivery data obtained by multiplexing the pieces of video information corresponding to the number of output lines of the respective multiple display modules, output from the division unit, and control information indicating the target display modules to which the pieces of video information corresponding to the number of out

Abstract: In order to estimate a movement command that a central nervous system is to select to implement a desired movement based on three feature amounts under the concepts of an antagonistic muscle ratio and an antagonistic muscle sum and based on a musculoskeletal model, a movement analysis apparatus includes: a myoelectric potential measurement unit to measure a myoelectric potential of a person who performs a movement; a movement measurement unit to measure a body movement; and a stiffness-ellipse calculation unit, an equilibrium-point calculation unit and a muscle synergy calculation unit to calculate, from measurement information obtained at the measurement units, feature amounts of a stiffness ellipse, an equilibrium point, and a muscle synergy that are base vectors describing the equilibrium point at an operating point based on a musculoskeletal model.

Abstract: A walking robot (1) includes a body (20) joined with an upper part of two legs (10) so that the body has a changeable posture relative to the legs; and a posture control unit (105, 106, 107) configured to control a posture of the body stably in accordance with states of the legs (10) and the body (20). The walking robot includes: a state calculation unit (101, 102, 103) configured to calculate periodically, from angular information on the legs (10) and the body (20), angular momentum p1 around a lower end of the leg in a stance phase and integral pI1 of the angular momentum; and a stabilization determination unit (104) configured to determine whether the calculated angular momentum p1 and integral pI1 are approaching or getting away from target values, and output a result of the determination to the posture control unit (105, 106, 107).

Abstract: A walking assistance apparatus includes: a walking assistance attachment to be attached to a leg of a human body and including a variable stiffness mechanism having stiffness that is changeable in a direction where the human bends and stretches the knee by motor driving; and a controller. The controller includes a foot-end motion calculation part configured to receive an output from a sensor to detect motion of a leg and successively calculate a relative velocity of a foot end with reference to a waist of the human body; and a leg state determination part configured to determine shift timing between a swing phase and a stance phase based on the relative velocity of the foot end.

Abstract: A video delivery apparatus includes: a division unit to divide video information corresponding to one screen, which is to be delivered to each of multiple display modules constituting a display, into pieces of video information each corresponding to the number of output lines, which is N times (N is an integer of one or greater) a line indicating pixels per one line of the corresponding display module, and output the pieces of video information corresponding to the number of output lines for each of the multiple display modules; and a delivery processor to deliver the video information corresponding to one screen of the display by repetitively delivering, to the multiple display modules, delivery data obtained by multiplexing the pieces of video information corresponding to the number of output lines of the respective multiple display modules, output from the division unit, and control information indicating the target display modules to which the pieces of video information corresponding to the number of out

Abstract: A walking assistance apparatus includes: a walking assistance attachment to be attached to a leg of a human body and including a variable stiffness mechanism having stiffness that is changeable in a direction where the human bends and stretches the knee by motor driving; and a controller. The controller includes a foot-end motion calculation part configured to receive an output from a sensor to detect motion of a leg and successively calculate a relative velocity of a foot end with reference to a waist of the human body; and a leg state determination part configured to determine shift timing between a swing phase and a stance phase based on the relative velocity of the foot end.

Abstract: A walking robot (1) includes a body (20) joined with an upper part of two legs (10) so that the body has a changeable posture relative to the legs; and a posture control unit (105, 106, 107) configured to control a posture of the body stably in accordance with states of the legs (10) and the body (20). The walking robot includes: a state calculation unit (101, 102, 103) configured to calculate periodically, from angular information on the legs (10) and the body (20), angular momentum p1 around a lower end of the leg in a stance phase and integral pI1 of the angular momentum; and a stabilization determination unit (104) configured to determine whether the calculated angular momentum p1 and integral pI1 are approaching or getting away from target values, and output a result of the determination to the posture control unit (105, 106, 107).

Abstract: A data distribution server and terminals measure a communication status with other devices. Based on measurement results of the communication status, the data distribution server categorizes the terminals as “trunk” or “branch”, notifies the terminals of categorization results, notifies the terminals of selection of a relay path through which data can be distributed to all relay terminals by relaying the data between “trunks”, and instructs a “trunk” terminal to relay the data through the relay path. When notified that the terminal itself is a “trunk”, each of the terminals relays the data based on an instruction from the data distribution server. When notified by the data distribution server that the terminal itself is a “branch”, each of the terminals receives the data distributed from the data distribution server or the “trunk”.

Abstract: To provide a wireless communication device that can reduce the influence of periodic noises in fixed period communication using wireless communication. A wireless master device (N201) serving as a wireless master station for performing wireless communication with a wireless slave device (N301) serving as a wireless slave station includes a delay control portion (14) configured to set a delay time onto an input signal at random in every transmission period, and a wireless transmission portion (13) configured to transmit the signal to the wireless slave station (N301), while delaying the signal based on the delay time.

Abstract: In order to estimate a movement command that a central nervous system is to select to implement a desired movement based on three feature amounts under the concepts of an antagonistic muscle ratio and an antagonistic muscle sum and based on a musculoskeletal model, a movement analysis apparatus includes: a myoelectric potential measurement unit to measure a myoelectric potential of a person who performs a movement; a movement measurement unit to measure a body movement; and a stiffness-ellipse calculation unit, an equilibrium-point calculation unit and a muscle synergy calculation unit to calculate, from measurement information obtained at the measurement units, feature amounts of a stiffness ellipse, an equilibrium point, and a muscle synergy that are base vectors describing the equilibrium point at an operating point based on a musculoskeletal model.

Abstract: A content delivery system which comprises a delivery server and multiple terminal devices, the delivery server delivering content, the multiple terminal devices receiving delivery of the content, in the content delivery system connection between the delivery server and the terminal devices and connection between the terminal devices being made by radio, in the content delivery system the terminal devices being connected in multiple stages, wherein the delivery server instructs a terminal device which has received delivery of the content and which is connected to an other terminal device at the next stage to deliver content possessed by a self terminal device to the other terminal device, and wherein the instructed terminal device delivers content possessed by the self terminal device to the other terminal device and notifies the delivery result to the delivery server.

Abstract: A data distribution server and terminals measure a communication status with other devices. Based on measurement results of the communication status, the data distribution server categorizes the terminals as “trunk” or “branch”, notifies the terminals of categorization results, notifies the terminals of selection of a relay path through which data can be distributed to all relay terminals by relaying the data between “trunks”, and instructs a “trunk” terminal to relay the data through the relay path. When notified that the terminal itself is a “trunk”, each of the terminals relays the data based on an instruction from the data distribution server. When notified by the data distribution server that the terminal itself is a “branch”, each of the terminals receives the data distributed from the data distribution server or the “trunk”.

Abstract: Disclosed is a muscle synergy analysis which comprises detecting a myoelectric signal generated at each muscle of an antagonistic muscle pair group of a subject; calculating, as time-series data, an antagonistic muscle ratio of an antagonistic muscle pair at a myoelectric signal level from a myoelectric signal detected during a predetermined motion by the subject; and conducting multi variate analysis using the antagonistic muscle ratio at each time of the time-series data as a variable to calculate a principal component including at least a first principal component having high contribution to correlation.

Abstract: A wireless communication system including a master station, and slave stations that execute a predetermined operation based on an operation instruction transmitted by the master station, in which the master station includes a normal frame processor that generates an operation instruction, and a Go/Stop signal processor that generates an execution instruction signal instructing to execute the operation instruction to transmit the signal when a response to the operation instruction is obtained from all the slave stations during a predetermined response waiting time, each of the slave stations include an execution-instruction-signal receiving unit that receives the execution instruction signal, and the execution-instruction-signal receiving unit executes an operation corresponding to the execution instruction signal when receiving the execution instruction signal or waits execution of the corresponding operation until the execution instruction signal corresponding to the operation instruction is received.

Abstract: A content delivery system which comprises a delivery server and multiple terminal devices, the delivery server delivering content, the multiple terminal devices receiving delivery of the content, in the content delivery system connection between the delivery server and the terminal devices and connection between the terminal devices being made by radio, in the content delivery system the terminal devices being connected in multiple stages, wherein the delivery server instructs a terminal device which has received delivery of the content and which is connected to an other terminal device at the next stage to deliver content possessed by a self terminal device to the other terminal device, and wherein the instructed terminal device delivers content possessed by the self terminal device to the other terminal device and notifies the delivery result to the delivery server.