期刊文献+

可穿戴的智能矫姿系统设计与实现 被引量:5

Design and implementation of wearable intelligent posture correction system
下载PDF
导出
摘要 针对长时间的坐姿不良对伏案人群的身体健康造成严重危害的问题,提出了矫正姿势和久坐提醒双管齐下的解决方案,设计了一套可穿戴的智能矫姿系统。通过对人体脊柱生理结构的分析,采用双惯性传感器协同采集的方式提高了数据采集精度。当系统监测到人体出现不良坐姿时,通过自动触发语音和震动提醒的方式辅助用户纠正当前不良坐姿。利用姿态检测技术,建立了基于动作状态变化的智能计时模型,改善了目前只能周期性计时提醒的方法。利用手机APP的数据可视化显示和相关参数设置,改善了系统的人机交互体验。测试表明:该系统具有矫正姿势效果良好和久坐提醒灵敏的特点,可有效缓解久坐带来的危害。 In order to solve the problem of serious health damage caused by poor sitting posture for a long time,a two-pronged solution of correcting posture and sedentary reminder is put forward,and a wearable intelligent posture correction system is designed.Through the analysis of the physiological structure of human spine,the data acquisition accuracy is improved by using double inertial sensor cooperative acquisition.When the bad sitting posture of the human body is monitored by the system,the voice and vibration reminders are triggered to reminder the user correct the current bad sitting posture.By using attitude detection technology,an intelligent timing model based on action state change is established,which improves the current method of only periodic reminders.The human-computer interaction experience of the system can be improved by using the data visualization display and related parameter setting on the mobile phone APP.Finally,the system test shows that the system has the characteristics of good correction posture and sensitive sedentary reminder.It can effectively alleviate the harm caused by sedentary.
作者 董辉 敖文聪 罗强 吴祥 沈佳阳 DONG Hui;AO Wencong;LUO Qiang;WU Xiang;SHEN Jiayang(College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China)
出处 《浙江工业大学学报》 CAS 北大核心 2021年第1期24-29,93,共7页 Journal of Zhejiang University of Technology
基金 NSFC-浙江两化融合联合基金资助项目(U1709213)。
关键词 惯性传感器 安卓 姿态解算 姿态检测 坐姿矫正 久坐提醒 inertial sensor Android attitude solution gesture recognition sitting posture correction sedentary reminder
  • 相关文献

参考文献7

二级参考文献53

  • 1刘志伟,杨惠林,张志明,蒋定华,陆俭.颈腰综合征的诊断及其手术治疗22例分析[J].苏州大学学报(医学版),2008,28(1):154-155. 被引量:3
  • 2龙厚清,Kazumasa Ueyama,刘少喻,李佛保,万勇,廖威明.保留C_2棘突半棘肌附着的颈椎管扩大椎板成形术[J].中国临床解剖学杂志,2006,24(5):493-497. 被引量:9
  • 3贺晶.初中生早读管理探析[J].教学与管理(中学版),2007(2):25-27. 被引量:1
  • 4熊荣炎,姜弢,马成顺.基于特征值的运动目标快速检测与跟踪[J].齐齐哈尔大学学报(自然科学版),2007,23(2):41-44. 被引量:1
  • 5ROPPE R.A survey on vision-based human action recognition[J].Image and Vision Computing,2010,28(6):976-990.
  • 6JIANG Xing-hao,SUN Tan-feng,FENG Bing,et al.Aspace-time SURF descriptor and its application to action recog-nition with video words[C]//8th International Conference onFuzzy Systems and Knowledge Discovery.Shanghai:IEEEComputer Society,2011:1911-1915.
  • 7KHAN A M,LEE Y K,LEE S Y,et al.A triaxial acceler-ometer-based physical-activity recognition via augmented-sig-nal features and a hierarchical recognizer[J].IEEE Transac-tions on Information Technology in Biomedicine,2010,14(5):1166-1172.
  • 8LAI C F,CHANG S Y,CHAO H C,et al.Detection of cog-nitive injured body region using multiple triaxial accelerometersfor elderly falling[J].IEEE Sensors Journal,2011,11(3):763-770.
  • 9NAJAFI B,AMINIAN K,PARASCHIV-LONESCU A,etal.Ambulatory system for human motion analysis using a ki-nematic sensor:monitoring of daily physical activity in the eld-erly[J],IEEE Transactions on,2003 ?50(6):711-723.
  • 10KARANTONIS D M,NARAYANAN M R,MATHIE M,et al.Implementation of a real-time human movement classi-fier using a triaxial accelerometer for ambulatory monitoring[J].IEEE Transactions on Information Technology in Bio-medicine,2006,10(1):156*167.

共引文献44

同被引文献48

引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部