英文汇报PPT

Users will not take their phone on body all the time
System design
Overview of System Architecture
Methodology
First
Second
Third
System Flow Chart
Data processing
event void Boot.booted() { call Timer0.startPeriodic(250); call Timer1.startPeriodic(500); call Timer2.startPeriodic(1000); event void Timer0.fired() { dbg("BlinkC","Timer 0 fired @ %s.\n",sim_time_string()); call Leds.led0Toggle(); post computeTask(); } event void Timer1.fired() { dbg("BlinkC", "Timer 1 fired @ %s.\n", sim_time_string()); call Leds.led1Toggle(); } event void Timer2.fired() { dbg("BlinkC", "Timer 2 fired @ %s.\n", sim_time_string()); call Leds.led2Toggle(); } }
Conclusions
优点： 1.提出了一种基于WiFi检测跌倒的方法。 2.文章整个过程思路清晰，实验论证比较充分。
缺点： 1.没有考虑动物的活动情况 2.文中利用的许多公式没有清楚的解释到位
我的心得：
1.这篇文章表面很简单，其实利用的原理比较复杂， 值得深入探究。 2.实验部分很充分，值得我学习。 3.利用WiFi来检测跌倒的方法可以和我们的课题相结 合。
Variance comparison of sit and fall
Velocity comparison of sit and fall
IR comparison of different activities
MAD comparison of different activities
If f(x) > 0, then x is labeled as Fall.
Ambient device Vision techniques Wearable sensor Smart phone
Specific devices Sound of every Fails to work in dark environment Give additional burden
实验二
Tiny OS执行模型
实验要求
1．熟悉Tiny OS同步异步执行过程 2．修改例子程序，实现无阻塞亮灯
include "Timer.h" module BlinkTaskC { uses interface Timer<TMilli> as Timer0; uses interface Leds; uses interface Boot; } implementation { task void Toggle() { call Leds.led0Toggle(); } event void Boot.booted() { call Timer0.startPeriodic(1000); } event void Timer0.fired() { post Toggle(); }
1. 2. 3. 4. 5. 6. 7. The normalized standard deviation(STD) of CSI, The offset of signal strength, The period of the motion, The median absolute deviation (MAD), Interquartile range (IR), Signal entropy, The velocity of signal change.
Anomaly detection
Human motions-walk, sit, stand up and fall lead to obvious fluctuation of CSI. By using Local Outlier Factor based anomaly detection algorithm, Wi Fall finds human motions and isolates the corresponding anomaly patterns.
All the NICs and routers are equipped with three antennas.
Performance Evaluation
Two metrics are used to analyze the performance of WiFall: Detection rate and false alarm rate.
将计算分为10000次的多个小任务。 实验的结果：红灯闪烁的频率变快。而且绿灯和蓝 灯也闪烁。Task操作是用post来调用。
Wi Fall:
Device-free Fall Detection by Wireless Networks
林小洁 2015年12月5日
Outline:
Background System design Methodology Experiment Conclusions
Background
Experimental
Firstly, we describe experimental settings. Two HP laptops with 2.4GHz dual-core CPU as the MPs
The laptops are equipped with Intel Wi Fi Link 802.11n NICs. Two TP-LINK routers act as APs.
include "Timer.h" module BlinkTaskC { uses interface Timer<TMilli> as Timer0; 定义新的接口类型 uses interface Timer<TMilli> as Timer1; uses interface Timer<TMilli> as Timer2; uses interface Leds; uses interface Boot; } implementation { task void computeTask() { 分为多个小任务 static uint32_t i; uint32_t start = i; for (;i < start + 10000&& i < 400001 i++){} if (i >= 400000) { i = 0; } else { post computeTask(); } }
LOF value of approximately 1 indicates that the point is located in a region of homogenous density. Higher LOF values signify an outlier.
Activity classification An one-class Support Vector Machine (SVM)
定义接口
接口实现的事件
对接口 触发事 件进行 修改实 现阻塞
接口触发事件
event void Timer0.fired() { uint32_t i; for(i=0;i<400001;i++) call Leds.led0Toggle(); }
这段代码使得LED0转换400001,这样的实验结果就 是LED0会长亮，级红灯长亮，绿灯，蓝灯不亮。