Abstract: A semiconductor structure includes a first interposer; a second interposer laterally adjacent to the first interposer, where the second interposer is spaced apart from the first interposer; and a first die attached to a first side of the first interposer and attached to a first side of the second interposer, where the first side of the first interposer and the first side of the second interposer face the first die.

Abstract: A system for recognizing user gestures according to a muscle active signal detected from the user's wrist and a method thereof are provided. After detecting a target muscle active signal from a wrist of a user, the system obtains a target feature signal when the measured amplitude exceeds a predetermined value of the target muscle active signal, generates target feature data in accordance with the target feature signal, and uses a gesture classification model to classify the target feature data for recognizing the user's gestures. The proposed system and the method can let users easily wear this muscle active signal detecting device at the correct position for recognizing gestures accurately, and can achieve the effect of recognizing gestures with lower power consumption and lower costs.

Abstract: A system for recognizing user gestures according to a muscle active signal detected from the user's wrist and a method thereof are provided. After detecting a target muscle active signal from a wrist of a user, the system obtains a target feature signal when the measured amplitude exceeds a predetermined value of the target muscle active signal, generates target feature data in accordance with the target feature signal, and uses a gesture classification model to classify the target feature data for recognizing the user's gestures. The proposed system and the method can let users easily wear this muscle active signal detecting device at the correct position for recognizing gestures accurately, and can achieve the effect of recognizing gestures with lower power consumption and lower costs.

Abstract: A system and a method for detecting a muscle activity are provided. The system includes a vibration sensor. The vibration sensor detects a vibration signal at a sensing point located at an opposite side of an operating muscle system for analyzing a body movement.

Abstract: A control device includes a main body, a sensing module and a processing module. The sensing module is disposed on the main body. The main body is defined with a device reference axis. The sensing module is configured to detect angle information and strength information. The angle information is corresponding to the angle between the device reference axis and a base reference axis. The strength information is corresponding to a force applied to the main body. The processing module is configured to provide a control signal according to the angle information and the strength information.

Abstract: A control device includes a main body, a sensing module and a processing module. The sensing module is disposed on the main body. The main body is defined with a device reference axis. The sensing module is configured to detect angle information and strength information. The angle information is corresponding to the angle between the device reference axis and a base reference axis. The strength information is corresponding to a force applied to the main body. The processing module is configured to provide a control signal according to the angle information and the strength information.

Abstract: A system and a method for detecting a muscle activity are provided. The system includes a vibration sensor. The vibration sensor detects a vibration signal at a sensing point located at an opposite side of an operating muscle system for analyzing a body movement.

Abstract: A system and a method for estimating the mechanical behavior of human lower limbs is provided. The method includes the following steps: sensing a plurality of foot pressure signals of a user by using a sensor array, the foot pressure signals comprising at least a rearfoot pressure signal and at least a forefoot pressure signal; calculating a temporal sequence of a gait cycle of the user according to the foot pressure signals; calculating a foot reaction force of the user according to the foot pressure signals and a calibration parameter; and calculating a mechanical state of the lower limb joints of the user according to the temporal sequence of the gait cycle and the foot reaction force.

Abstract: A biomechanics analyzing system and a biomechanics computerized analyzing method for analyzing an organism when the organism performs an act by himself are provided. The biomechanics analyzing system includes an accelerometer, a low-pass filter, and a processing unit. The accelerometer is configured to be disposed on a surface of a muscle of the organism and is further configured to detect an acceleration signal. The low-pass filter is connected to the accelerometer and is configured for receiving the acceleration signal from the accelerometer and filtering the acceleration signal to produce a low-frequency signal. The processing unit is connected to the low-pass filter, and is configured for receiving the low-frequency signal from the low-pass filter and analyzing a frequency of a motion state of the organism according to the low-frequency signal.

Abstract: According to one embodiment of a management system for damage risk of tissue pressure, at least one pressure sensor is deployed on at least one pressure-withstanding location on a body surface of a user, and detects a plurality of extremity pressure signals from the at least a pressure-withstanding location. An information processing device uses the plurality of extremity pressure signals to compute and store at least one risk assessment index, uses a plurality of features of the plurality of extremity pressure signals to compute at least one risk adjustment factor, and then uses the at least one risk adjustment factor to calibrate the at least one risk assessment index.

Abstract: A system and a method for estimating the mechanical behavior of human lower limbs is provided. The method includes the following steps: sensing a plurality of foot pressure signals of a user by using a sensor array, the foot pressure signals comprising at least a rearfoot pressure signal and at least a forefoot pressure signal; calculating a temporal sequence of a gait cycle of the user according to the foot pressure signals; calculating a foot reaction force of the user according to the foot pressure signals and a calibration parameter; and calculating a mechanical state of the lower limb joints of the user according to the temporal sequence of the gait cycle and the foot reaction force.

Abstract: A system and a method for analyzing biomechanics. The biomechanics analyzing system for analyzing a motion state of an organism includes a detecting unit, a low-pass filter, a high-pass filter and a processing unit. The detecting unit disposed on a surface of a muscle of the organism detects an acceleration signal. The low-pass filter filters the acceleration signal to produce a low-frequency signal. The high-pass filter filters the acceleration signal to produce a high-frequency signal. The processing unit analyzes a motion posture or a motion frequency of the motion state of the organism according to the low-frequency signal, and analyzes a motion strength of the motion state of the organism according to the high-frequency signal.