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Tumbling movement detecting method based on data curve comparison

A technology of activity detection and data curve, applied in the field of pervasive computing applications, can solve the problems of poor acceptability and affordability, high cost, limited detection area expansion, etc., and achieve the effect of real-time and efficient detection

Active Publication Date: 2013-12-25
STATE GRID ELECTRIC POWER RES INST
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Problems solved by technology

However, the acceptability and affordability of such methods are not good, and due to the use of image technology for body activity detection, the detection area is completely limited to a very limited monitorable range, and the high cost of setting the monitorable range limits the detection area extension of

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  • Tumbling movement detecting method based on data curve comparison
  • Tumbling movement detecting method based on data curve comparison
  • Tumbling movement detecting method based on data curve comparison

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Embodiment Construction

[0017] In this fall activity detection method, the sensing data of the magnetic field sensing sensor represents the magnetic field strength around it, and the relative position between the sensor and the magnetic accessory can be deduced by using this data value. By setting the position of the sensor and the magnetic accessory reasonably, it can effectively To accurately capture the common features of body part motion in fall activities to achieve fall detection. Specifically, the magnetic attachment can be placed on the leg, slightly above the knee, while the sensor is placed near the pant pocket on the other leg. The magnetic field strength perception data collected by the sensor characterizes the movement between the legs during human activities.

[0018] After obtaining the sensory data including human activity characteristics and generating data curves, the fall activity detection method based on data curve comparison is to examine the shape context of the sensory data cu...

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Abstract

A tumbling movement detecting method based on data curve comparison belongs to the creative application of pervasive computing human-machine interaction technology and introduces peripheral magnetic field change to reflect the movement situation of a body part in human body movements, grasps complex behavior characteristic information in the human body movements, achieves the detection of the tumbling movements on obtained sensing data curves by means of a curve comparison technical scheme of independent design based on curve shape context investigation, curve characteristic matrix generation and difference degree computing, and meets the real time high efficiency requirements of the movement detection in the pervasive computing application human-machine interaction.

Description

technical field [0001] The invention belongs to the field of pervasive computing application technology, and relates to a human body activity detection method in human-computer interaction technology. The method effectively detects people's fall activity by comparing and processing the perception data curves generated with human body activities. Background technique [0002] As a typical application of ubiquitous computing, human fall activity detection is also an important key technology in activity-oriented human-computer interaction. It is of fundamental and important significance for avoiding the serious health hazards caused by falls to people, especially the elderly, and for gradually and deeply studying the accurate detection of various human activity information in human-computer interaction. Fall activity detection technology focuses on converting the qualitative description of the activity into a quantitative description reasonably, so as to realize the identificat...

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Application Information

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IPC IPC(8): A61B5/11
Inventor 戴江鹏彭林朱力鹏梁云
Owner STATE GRID ELECTRIC POWER RES INST
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