Abstract:
A method for remote control wherein a first mobile device is remotely controls a second mobile device connected to the first mobile device via an audio/data transmission network. The method includes receiving a request from an user of the first mobile device on the first mobile device, performing audio transmission from the first mobile device to the second mobile device, and transmitting data for a displayed screen from the first device to the second device via the data transmission network. The received data for the displayed screen is displayed on the second mobile device, operation content is received from an user operating the displayed screen on the second device, and the operation content is transmitted from the second device to the first device via the data transmission network, so that a terminal feature on the first device is operable based on the operation content received from the second device.
Abstract:
A non-contact gesture sensor is mounted within a vehicle for vehicle occupants to enter control commands by using hand gestures. The effects of vehicle motion and vibration are stabilized by an electronic circuit that includes an inertial motion sensor (IMU) in rigidly fixed relation to the gesture sensor. An adaptive filter processes the gesture sensor signal and the IMU sensor signal by modeling the arm and hand as a semi-rigid articulated body using a transfer function that relates accelerations measured by the IMU with vehicle motion-induced accelerations of the hand. The filter calculates a noise-reduced gesture signal by subtracting out the motion-induced accelerations and measurement noise. The filter also outputs a confidence measure that controls a threshold circuit that inhibits use of the filtered gesture signal when confidence in the filter's system estimation is low.
Abstract:
A determination method for determining the structure of a convolutional neural network includes acquiring N filters having the weights trained using a training image group as the initial values, where N is a natural number greater than or equal to 1, and increasing the number of the filters from N to M, where M is a natural number greater than or equal to 2 and is greater than N, by adding a filter obtained by performing a transformation used in image processing fields on at least one of the N filters.
Abstract:
A non-contact gesture sensor is mounted within a vehicle for vehicle occupants to enter control commands by using hand gestures. The effects of vehicle motion and vibration are stabilized by an electronic circuit that includes an inertial motion sensor (IMU) in rigidly fixed relation to the gesture sensor. An adaptive filter processes the gesture sensor signal and the IMU sensor signal by modeling the arm and hand as a semi-rigid articulated body using a transfer function that relates accelerations measured by the IMU with vehicle motion-induced accelerations of the hand. The filter calculates a noise-reduced gesture signal by subtracting out the motion-induced accelerations and measurement noise. The filter also outputs a confidence measure that controls a threshold circuit that inhibits use of the filtered gesture signal when confidence in the filter's system estimation is low.
Abstract:
Inputting an image to a neural network, performing convolution on a current frame included in the image to calculate a current feature map, which is a feature map at a present time, combining a past feature map, which is obtained by performing convolution on a past frame included in the image, and the current feature map, estimating an object candidate area using the combined past feature map and current feature map, estimating positional information and identification information regarding the one or more objects included in the current frame using the combined past feature map and current feature map and the estimated object candidate area, and outputting the positional information and the identification information regarding the one or more objects included in the current frame of the image estimated in the estimating as object detection results are included.
Abstract:
An aircraft having a fixed wing is operative to perform vertical takeoff and landing while positioned in a nose-down orientation. The aircraft has a fixed wing having a leading edge and a trailing edge; a propulsion system operative to selectively provide forward propulsion and rearward propulsion; and a controller operative to control operation of the propulsion system. The propulsion system provides rearward propulsion during takeoff of the aircraft to move the aircraft in a direction of the trailing edge of the fixed wing, and provides forward propulsion during flight of the aircraft to move the aircraft in a direction of the leading edge of the fixed wing. The aircraft maintains the wing substantially vertical with the trailing edge facing upwards during takeoff, and transitions to having the wing substantially horizontal during flight. A vertical landing procedure is also provided.