Method and device for identifying human movement state

A method for identifying a human movement state, wherein the method comprises:

• providing a three-axis acceleration sensor and a human physical sign sensor in a wearable device;
• detecting an instantaneous abnormal motion of a human body according to acceleration signals that are collected by the three-axis acceleration sensor;
• judging, according to a physical sign signal that is collected by the human physical sign sensor, whether the wearable device is being worn;
• if a number of the instantaneous abnormal motions that are detected within a sleeping state statistic duration is less than or equal to a preset first number threshold, and it is judged that the human body is wearing the wearable device, determining that the human movement state is a sleeping state;
• and if not, determining that the human movement state is a waking state.

A device for identifying a human movement state, adapted for a wearable device having multiple sensors, wherein the device for identifying comprises a processor and at least one computer-readable storage medium, the at least one computer-readable storage medium stores computer-executable instructions which, when executed by the processor, cause the processor to perform operations comprising:

• when it is determined according to acceleration signals that are collected by a three-axis acceleration sensor in the wearable device that the human body is in a walking state, calculating a walking step number of the human body according to the acceleration signals that are collected by the three-axis acceleration sensor, and calculating a walking step frequency according to the walking step number;
• calculating a corresponding physical sign frequency during the walking process according to a physical sign signal that is collected by a human physical sign sensor in the wearable device;
• comparing the calculated walking step frequency and the physical sign frequency respectively with a step frequency threshold and a physical sign frequency threshold;
• and
• if the walking step frequency is greater than the step frequency threshold, and the physical sign frequency is greater than the physical sign frequency threshold, determining that the human body movement state is a running state, and recording the calculated walking step number to be a running step number;
• and if not, determining that the human body movement state is a pacing state, and recording the calculated walking step number to be a pacing step number.

A device for identifying a human movement state, adapted for a wearable device having multiple sensors, wherein the device for identifying comprises a processor and at least one computer-readable storage medium, the at least one computer-readable storage medium stores computer-executable instructions which, when executed by the processor, cause the processor to perform operations comprising:

• detecting an instantaneous abnormal motion of a human body according to acceleration signals that are collected by a three-axis acceleration sensor in the wearable device;
• judging, according to a physical sign signal that is collected by a human physical sign sensor in the wearable device, whether the wearable device is being worn;
• if a number of the instantaneous abnormal motions that are detected within a sleeping state statistic duration is less than or equal to a preset first number threshold, and it is judged that the human body is wearing the wearable device, determining that the human movement state is a sleeping state;
• and if not, determining that the human movement state is a waking state.