Abstract: A muscle tone assessment device includes a pedal, a front force sensor and a back force sensor arranged at the pedal, and a controller connected to the sensors. The controller obtains a front force standard deviation, a back force standard deviation, a front force deviation and a back force deviation from the sensing results, and obtains a first and a second threshold value from the front force standard deviation and the back force standard deviation. The front force standard deviation and the back force standard deviation are the standard deviations of the front force signal and the back force signal within a first time interval. The front force deviation and the back force deviation represent the deviation of the front force signal and the back force signal in a second time interval. In addition, the present invention further provides a muscle tone assessment method.

Abstract: An optical inspection system of removing a pattern relevant to surface metallic texture on circuits from an image to be inspected includes a first light source module, an image forming module and an operation processor. The first light source module includes a first polarizer and a linear light source. The first polarizer has a first polarization axis. The linear light source emits a linear light beam which passes through the first polarizer to project polarization beam onto the circuits. The image forming module includes a second polarizer and an optical detector. The optical detector receives a reflection beam generated by the linear polarization beam being reflected from the circuits and passing through the second polarizer. The operation processor receives the image to be inspected generated by the reflection beam, and analyzes the image to be inspected for determining whether the circuits have any defect except the surface metallic texture.

Abstract: A muscle tone assessment device includes a pedal, a front force sensor and a back force sensor arranged at the pedal, and a judgment unit connected to the sensors. The judgment unit obtains a front force standard deviation, a back force standard deviation, a front force deviation and a back force deviation from the sensing results, and obtains a first and a second threshold value from the front force standard deviation and the back force standard deviation. The front force standard deviation and the back force standard deviation are the standard deviations of the front force signal and the back force signal within a first time interval. The front force deviation and the back force deviation represent the deviation of the front force signal and the back force signal in a second time interval. In addition, the present invention further provides a muscle tone assessment method.