An API or service that provide user to sysmatically annotate the location on google map. It also run in reverse way. User can search annotation then lead to the location.
Annotation include : Name,Kind,Web,Blog,Book,Movie,Song,Video,Photo,Link to other location.
It is all in URL format. But we will pull out the page and hilite the relationship.
It is a device that put on top of the stool in bathroom. It monitor the duration and how elderly use the stool , based on the data the machine will send out warning message if the data are not normal.
A watch that sense the people's motion then send out message to Twitter. There are 5 Button on the Watch that tell where you are. At Home/In Transportation/At Office/Eating/Resting Other message are generate randomly from the Gyro & Acceleration sensor.
When elder people went into Bath Room,Robot will sit beside the Door and Listen to Un-Usually Sound patten & wait for specific time. If people went into bath room for too long. Robot will nock the door or generate sound. If robot "hear" some un-usual sound patten . Robot will also nock the door or generate sound. If there is no respons from the people. Robot will make emergency call. Sound like a real "Watch Dog".
Challenge Point 1 : How does robot know people went into the bath room ?
Challenge Point 2 : What is "Un-Usual" sound & How long to wait for ?
Purpose : Look after people especially elderly people's activity at home. To activate alarm when people are falling down.
Method : Use Differential Image to remove the background and tracking the moving parts of the Image (that is the people). Use 2D model to abstract the people's image and get the estimation of the people's gesture. Add a thermal image or remote temperature sensor or Microphone array to confirm the people's location.(No use in the bath room or kitchen) . And once the system found the people is falling down. It will generate noise to wake up the people. If there is no respone from the people, it will call out for help.
Technology Challenge : Aware of People won't disapper even he or she is not moving.(Become background) Like siting or reading or watching TV or Sleeping. Model of people's gesture image. (Maybe Multiple camera can make better estimation)
I2C on NXT is very slowly. 9600bps. If I need 6 IR Appriximate sensor's value, I need to read 6 time and send a lot of data. The simpleset solution is to use a MCU to integrade the 6 sensor and NXT can initilized every sensor's threshold. Say Front and Back are 50cm and Front-Left,Front-Right,Back-Left,Back-Right is 20cm the all we need is to read 1 byte back (0: Under threshold 1: Over threshold). If you need more threshold control maybe we can alocate 2 bit for each sensor. So it is still 2 byte. It will save a lot of time and much easy to make decision on NXT. At least we can provide different mode of operation on Group of Sensor.
Desgin a GPS Traking device with a Camera . The camera is just use for Read the 2D Bar-Code. Define a 2D Bar-code to store the GPS location data. So any GPS traking device with Camera can scan the bar code parse the data and store it for latter use.
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