上海交通大学学报

上海交通大学学报（自然版） ›› 2015, Vol. 49 ›› Issue (09): 1359-1365.

• 其他 • 上一篇    下一篇

基于Kinect骨架追踪的人体摔倒自动检测

王君泽，朱小龙，瞿畅   

  1. （南通大学 机械工程学院，江苏 南通 226019）
    摘要：  为准确、迅捷地检测到独居老年人意外摔倒事件，最大程度降低因摔倒而造成的老年人意外死亡和伤害风险，利用Kinect检测设备和骨架追踪技术，选取人体头、左肩、右肩、左髋、右髋、两髋中心6个骨架点，实时计算这6个骨架点的空间位置、相对位置、运动速度和停留时间等参数，用以判定人体摔倒事件，并能较准确地辨别坐下、蹲下和捡拾物品等非摔倒动作，降低误判率.实验结果表明：采用该检测方法能实现人体摔倒的自动实时检测，人体摔倒的误判率为7%；采用骨架追踪技术，监控过程中可以保护老年用户隐私；检测系统不依赖可见光，可进行24 h实时检测，为意外摔倒老人的及时安全救助提供了保障.
    关键词：  人体摔倒； 自动检测； 骨架追踪技术； Kinect
    中图分类号：  X 910文献标志码：  A
  • 收稿日期:2014-10-28
  • 基金资助:

    国家自然科学基金资助项目（61170171），南通市应用研究计划项目（BK2013018）

Automatic Fall Detection Using Human Skeleton Tracking Algorithm Based on Kinect Sensor

WANG Junze,ZHU Xiaolong,QU Chang   

  1. （School of Mechanical Engineering, Nantong University, Nantong 226019, Jiangsu, China）
  • Received:2014-10-28

摘要：

摘要：  为准确、迅捷地检测到独居老年人意外摔倒事件，最大程度降低因摔倒而造成的老年人意外死亡和伤害风险，利用Kinect检测设备和骨架追踪技术，选取人体头、左肩、右肩、左髋、右髋、两髋中心6个骨架点，实时计算这6个骨架点的空间位置、相对位置、运动速度和停留时间等参数，用以判定人体摔倒事件，并能较准确地辨别坐下、蹲下和捡拾物品等非摔倒动作，降低误判率.实验结果表明：采用该检测方法能实现人体摔倒的自动实时检测，人体摔倒的误判率为7%；采用骨架追踪技术，监控过程中可以保护老年用户隐私；检测系统不依赖可见光，可进行24 h实时检测，为意外摔倒老人的及时安全救助提供了保障.

关键词:  , 人体摔倒, 自动检测, 骨架追踪技术, Kinect

Abstract:

Abstract： In order to accurately and quickly detect accidental falls of the elderly who live alone, and to minimize the risk of accidental deaths and injuries caused by accidental falls, the six human skeleton joints, including head, left shoulder, right shoulder, left hip, right  hip and hip center, were chosen using the human skeleton tracking algorithm based on Kinect sensor. By realtime compution of the spatial location, relative position, kinematic velocity and static time of the six joint points, the occurrence of human falls could be determined. Meanwhile, the movements like sitting, squatting, retrieving and other nonfall movements could be accurately discriminated. As a result, the misjudgment ratio was reduced. The experiment results showed that the automatic detection of human fall was realized, and the misjudgment rate of human fall was reduced to 7%.By using the skeleton tracking technology, the privacy of the elderly could be protected in the monitoring process. The detection system did not depend on visible light and could make real time detection at 24 hours. These advantages provide a guarantee for timely security assistance for the elderly who suffer from accidental falls.

Key words:  human fall, automatic detection, human skeleton tracking technology, Kinect

中图分类号: