计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2013年
2期
34-37
,共4页
碰撞%坠落%智能手机%智能手机群%三轴加速度传感器
踫撞%墜落%智能手機%智能手機群%三軸加速度傳感器
팽당%추락%지능수궤%지능수궤군%삼축가속도전감기
collision%crash%smart phone%smart phone groups%three-axis acceleration sensor
针对目前现有汽车事故自救系统需要装配特定的传感器、GPS 及通信模块的缺点,设计了一种基于智能手机群的自动碰撞与坠落检测及事故自救系统.该系统以事故车内多部智能手机用户物理运动的加速度信号为输入样本,以多个加速度数据为依据计算阀值,不但使得事故判断的准确度显著提高还降低了严重事故时单个车载装置或手机损毁无法实现呼救可能性.当信号超过阀值后,自动借助手机的拍照、GPS 定位、3G 联网功能实现向救援中心报警求救.在 Android 平台实现原型系统.实验结果表明,该系统具有非常好的碰撞及坠落识别准确度,且具备能耗小和成本低等优点.
針對目前現有汽車事故自救繫統需要裝配特定的傳感器、GPS 及通信模塊的缺點,設計瞭一種基于智能手機群的自動踫撞與墜落檢測及事故自救繫統.該繫統以事故車內多部智能手機用戶物理運動的加速度信號為輸入樣本,以多箇加速度數據為依據計算閥值,不但使得事故判斷的準確度顯著提高還降低瞭嚴重事故時單箇車載裝置或手機損燬無法實現呼救可能性.噹信號超過閥值後,自動藉助手機的拍照、GPS 定位、3G 聯網功能實現嚮救援中心報警求救.在 Android 平檯實現原型繫統.實驗結果錶明,該繫統具有非常好的踫撞及墜落識彆準確度,且具備能耗小和成本低等優點.
침대목전현유기차사고자구계통수요장배특정적전감기、GPS 급통신모괴적결점,설계료일충기우지능수궤군적자동팽당여추락검측급사고자구계통.해계통이사고차내다부지능수궤용호물리운동적가속도신호위수입양본,이다개가속도수거위의거계산벌치,불단사득사고판단적준학도현저제고환강저료엄중사고시단개차재장치혹수궤손훼무법실현호구가능성.당신호초과벌치후,자동차조수궤적박조、GPS 정위、3G 련망공능실현향구원중심보경구구.재 Android 평태실현원형계통.실험결과표명,해계통구유비상호적팽당급추락식별준학도,차구비능모소화성본저등우점.
@@@@Considering the deficiency that the existing automobile accident self-rescue system requires to assemble the specific sensor, GPS and communication module, the author designed a vehicle collision or crash detection and accident self-rescue system based on the smart mobile phone groups. Taking the acceleration signals of physical moments from the smart mobile phones in the accidents car as the input samples and the assembly of acceleration data as the calculating thresholds, the system can not only improve the accuracy rating of the judgments about the accidents, but can also reduce the unusable distress signals due to the damages to individual vehicle-borne device or mobile phone in severe accidents. When the signals exceed the threshold value, the system can draw support from the functions of video, GPS positioning and 3G networking in the mobile phones automatically to call for help from the rescue centre. Meanwhile, a prototype system has been implemented on Android platform. The results of the experiments indicate that the system possesses the advantages of high accuracy of collision or crash recognition, low energy consumption and low cost.