Abstract: With regard to a learning method for a smartwatch to prevent a metal hand from lightening the screen by unintended touch, a mainboard chip firstly finds and learns points which unintendedly touch the screen. Then, the mainboard chip reserves the time Tm which leads to unintended touch on the screen. The mainboard chip judges the present state: at the reserved time Tm, if the display screen is in an ON state, the display screen will keep the ON state. If the display screen is in an OFF state, the display screen will keep the OFF state.

Abstract: Disclosed is a method for lighting a screen of a smart wristband by raising the hand. The smart wristband includes at least a processor, a display screen, and a three-axis acceleration sensor. The method includes processing and analyzing acquired three-axis acceleration data, and determining a time period and an amplitude of acceleration data of each of an X-axis, a Y-axis and a Z-axis, thereby determining whether a user raises the hand. According to the method, the real thought of a user can be accurately determined, a screen is accurately lighted when the user raises the hand, and the state of a wristband worn on the left hand or the right hand does not need to be reset when the user changes the left hand and the right hand.

Abstract: The present invention discloses a float touching fall alert bath mat system, wherein a power management module is installed in a body, the power management module is electrically connected to a single chip microcomputer (SCM) and a sensor, a front end of the sensor is equipped with floating touch sensor chips in sheet structure, the floating touch sensor chips are configured around the body, and the power management module is electrically connected to a wireless communication module; the SCM conducts calculation according to the real-time position information to obtain a size and a shape of a contact area between a human body and a bath mat, a reaction time of contact change and a movement direction of the human body; the system can accurately detect whether an actual fall has occurred. The present invention has the advantages of small size and low power consumption.

Abstract: The present invention discloses a float touching fall alert bath mat system, wherein a power management module is installed in a body, the power management module is electrically connected to a single chip microcomputer (SCM) and a sensor, a front end of the sensor is equipped with floating touch sensor chips in sheet structure, the floating touch sensor chips are configured around the body, and the power management module is electrically connected to a wireless communication module; the SCM conducts calculation according to the real-time position information to obtain a size and a shape of a contact area between a human body and a bath mat, a reaction time of contact change and a movement direction of the human body; the system can accurately detect whether an actual fall has occurred. The present invention has the advantages of small size and low power consumption.

Abstract: A device for monitoring and preventing slump and a processing method thereof is disclosed. The device includes: an alarm module, a signal collection module, and a signal processing module, wherein the signal collection module is used for collecting human-body posture behavior data and biometrics data; the signal processing module includes a slump detection unit configured to perform analysis processing according to the human-body posture behavior data and biometrics data to judge a state of the human body, and output a help signal to the alarm module when judging that a slump occurs to the human body; and the alarm module generates and outputs help message according to the help signal. The device and method perform slump detection through the human-body posture behavior data and biometrics data, thus the behavior characteristics of the human body are considered effectively, and higher accuracy is achieved.