Abstract: A limb rehabilitation and training system includes a horizontal position adjuster movably mounted at a bottom side of a base, an expansion rotary member mounted at the horizontal position adjuster, a shoulder joint traction mechanism linked to the expansion rotary member through a first arm segment robotic arm and a height adjuster, and an upper-limb rehabilitation device linked to the shoulder joint traction mechanism. The upper-limb rehabilitation device is able to rapidly be adjusted to fit the left arm or right arm through the horizontal position adjuster, the expansion rotary member, the first arm segment robotic arm and a shoulder positioning-lifting rotary member and. Further, by means of the shoulder joint traction mechanism, the user's stiffened shoulder joint can be timely moved for a separation distance, achieving the function of loosening the joint and facilitating performance of successive rehabilitation treatment or training.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: A rehabilitation device with pace pattern projecting function and seat structure and a control method thereof are provided. The rehabilitation device includes a body with a moving module, a projection device, a first sensor and a control system. The projection device projects pace patterns on a walking plane. The first sensor detects a walking situation of a user on the walking plane. Based on the walking situation detected by the first sensor, the control system adjusts a distance between the rehabilitation device and the user by controlling the moving module and adjusts a position of the pace patterns on the walking plane by controlling the projection device. Moreover, a movable seat mechanism is also disposed on the rear of the rehabilitation device. The user can sit down on the movable seat mechanism and towards the front of the rehabilitation device to rest moderately.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: A rehabilitation and training apparatus is built based on the empirical law by introducing physical therapists' experiences into the apparatus to simulate therapy with hands in the course of rehabilitation. The apparatus includes a multi-axis robotic arm having first to eighth arm segments, and a high-precision control system for controlling movements of the multi-axis robotic arm. The control system provides an active, a passive and an auxiliary mode; receives and computes information about a patient's movements and muscle force detected by potentiometers and force sensors provided in the multi-axis robotic arm; and accordingly, drives actuators to apply an aiding force or a resisting force to assist the patient in completing rehabilitation exercises. The apparatus also includes a humanized operating interface, via which a doctor or a physical therapist may obtain related rehabilitation data for assessment and adjustment of rehabilitation therapeutic courses.

Abstract: A human image detection and tracking systems and methods are disclosed. A human image detection method comprises receiving a depth image data from a depth image sensor by an image processing unit, removing a background image of the depth image sensor and outputting a foreground image by the image processing unit, receiving the foreground image and operating a graph-based segment on the foreground image to obtain a plurality of graph blocks by a human image detection unit, determining whether a potential human region exists in the graph blocks, determining whether the potential human region is a potential human head region, determining whether the potential human head region is a real human head region, and regarding the position of the real human head region is the human image position by the human image detection unit if the potential human head region is the real human head region.

Abstract: A rehabilitation device with pace pattern projecting function and seat structure and a control method thereof are provided. The rehabilitation device includes a body with a moving module, a projection device, a first sensor and a control system. The projection device projects pace patterns on a walking plane. The first sensor detects a walking situation of a user on the walking plane. Based on the walking situation detected by the first sensor, the control system adjusts a distance between the rehabilitation device and the user by controlling the moving module and adjusts a position of the pace patterns on the walking plane by controlling the projection device. Moreover, a movable seat mechanism is also disposed on the rear of the rehabilitation device. The user can sit down on the movable seat mechanism and towards the front of the rehabilitation device to rest moderately.

Abstract: A vision based pedestrian and cyclist detection method includes receiving an input image, calculating a pixel value difference between each pixel and the neighbor pixels thereof, quantifying the pixel value difference as a weight of pixel, proceeding statistics for the pixel value differences and the weights, determining intersections of the statistics as a feature of the input image, classifying the feature into human feature and non-human feature, confirming the human feature belonging to cyclist according to the spatial relationship between the human feature and the detected two-wheeled vehicle, and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.

Abstract: A pedestrian detection system and method includes: dividing an image to a plurality of granules, and counting magnitude difference value of each granule in diagonal orientation to obtain features of HOGG. And the HOGG and the HOG captured can work together to improve the detection rate and reduce the false alarm rate, which is the ultimate goal of the vision based pedestrian detection.

Abstract: A vision based pedestrian and cyclist detection method includes receiving an input image, calculating a pixel value difference between each pixel and the neighbor pixels thereof, quantifying the pixel value difference as a weight of pixel, proceeding statistics for the pixel value differences and the weights, determining intersections of the statistics as a feature of the input image, classifying the feature into human feature and non-human feature, confirming the human feature belonging to cyclist according to the spatial relationship between the human feature and the detected two-wheeled vehicle, and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.

Abstract: A human image detection and tracking systems and methods are disclosed. A human image detection method comprises receiving a depth image data from a depth image sensor by an image processing unit, removing a background image of the depth image sensor and outputting a foreground image by the image processing unit, receiving the foreground image and operating a graph-based segment on the foreground image to obtain a plurality of graph blocks by a human image detection unit, determining whether a potential human region exists in the graph blocks, determining whether the potential human region is a potential human head region, determining whether the potential human head region is a real human head region, and regarding the position of the real human head region is the human image position by the human image detection unit if the potential human head region is the real human head region.

Abstract: A limb rehabilitation and training system includes a horizontal position adjuster movably mounted at a bottom side of a base, an expansion rotary member mounted at the horizontal position adjuster, a shoulder joint traction mechanism linked to the expansion rotary member through a first arm segment robotic arm and a height adjuster, and an upper-limb rehabilitation device linked to the shoulder joint traction mechanism. The upper-limb rehabilitation device is able to rapidly be adjusted to fit the left arm or right arm through the horizontal position adjuster, the expansion rotary member, the first arm segment robotic arm and a shoulder positioning-lifting rotary member and. Further, by means of the shoulder joint traction mechanism, the user's stiffened shoulder joint can be timely moved for a separation distance, achieving the function of loosening the joint and facilitating performance of successive rehabilitation treatment or training.

Abstract: The present invention provides a visual tracking system and its method comprising: a sensor unit, for capturing monitored scenes continuously; an image processor unit, for detecting when a target enters into a monitored scene, and extracting its characteristics to establish at least one model, and calculating the matching scores of the models; a hybrid tracking algorithm unit, for combining the matching scores to produce optimal matching results; a visual probability data association filter, for receiving the optimal matching results to eliminate the interference and output a tracking signal; an active moving platform, for driving the platform according to the tracking signal to situate the target at the center of the image. Therefore, the visual tracking system of the present invention can help a security camera system to record the target in details and maximize the visual information of the intruding target.

Abstract: A pedestrian detection system and method includes: dividing an image to a plurality of granules, and counting magnitude difference value of each granule in diagonal orientation to obtain features of HOGG. And the HOGG and the HOG captured can work together to improve the detection rate and reduce the false alarm rate, which is the ultimate goal of the vision based pedestrian detection.

Abstract: A pedestrian detector includes an image-taking mechanism and an image analyzer. The image-taking mechanism is provided on a vehicle and used to take an image in front of the vehicle. The image analyzer is connected to the image-taking mechanism and used to receive the image from the image-taking mechanism and analyze the image to determine whether the image conforms to a pedestrian to determine whether there is a pedestrian in front of the vehicle.

Abstract: A locating and tracking system is provided. The locating and tracking system includes plural pressure sensing modules, each of which includes at least one pressure sensing unit detecting a pressure source and generating a signal; a data processing unit connected with the at least one pressure sensing unit, and processing the signal to generate a module information; a storage unit connected with the data processing unit, and storing the module information and an user information; a communication unit connected with the data processing unit, transmitting the module information, and receiving an outer information; and a power managing unit managing a power needed by the at least one pressure sensing unit, the data processing unit, the storage unit and the communication unit; a bottom board configured on a floor, and bearing the mentioned units; and a top board covering the mentioned units, and transferring the pressure source to the pressure sensing unit.

Abstract: A rehabilitation device includes a moving body, a motor, a control system and a sensor module. The moving body has a housing and a moving mechanism. The motor, disposed in the housing, connects to the moving mechanism and drives the moving mechanism. The control system is disposed in the housing and coupled to the motor. The sensor module is disposed on the moving body and coupled to the control module. The control system controls the operation of the motor to move the moving body according to information detected by the sensor module.

Abstract: A pedestrian detector includes an image-taking mechanism and an image analyzer. The image-taking mechanism is provided on a vehicle and used to take an image in front of the vehicle. The image analyzer is connected to the image-taking mechanism and used to receive the image from the image-taking mechanism and analyze the image to determine whether the image conforms to a pedestrian to determine whether there is a pedestrian in front of the vehicle.

Abstract: An interactive device is provided. The interactive device has a display device; a camera, for continuously filming a plurality of images in front of the display device, wherein the plurality of images includes at least one first object; and a processor, connected to the display device and the camera, for receiving the plurality of images, displaying the plurality of images on the display device, determining occurrence of an interactive movement of the first object in the plurality of images, designating an interactive object in the plurality of images when the interactive movement is detected, analyzing at least one characteristic of the interactive object, and controlling displayed images on the display device according to a trace of the interactive object.

Abstract: A rehabilitation device includes a moving body, a motor, a control system and a sensor module. The moving body has a housing and a moving mechanism. The motor, disposed in the housing, connects to the moving mechanism and drives the moving mechanism. The control system is disposed in the housing and coupled to the motor. The sensor module is disposed on the moving body and coupled to the control module. The control system controls the operation of the motor to move the moving body according to information detected by the sensor module.