CASASviz: new version 1.0

The new version of our CASASviz has just been generated.

There are some major improvements:

1) Generate Main Visualizer by JavaScript Library Raphaël. We test our webpage on the PC and Iphone platform. There is no any delay. It works very well.

2) Use a web application model Comet to push the data from server to the browsers, without any request from the browsers.

3) Implement Pattern Visualization. Now we can show all kinds of the patterns based on different algorithms.

4) More Intelligent Functions:
1) Location Detection: show current room
2) Activity Level: use sliding time window to show the level of the activity
3) Enter or Leave Home Detection: use special rule
4) Activity Recognition: We are trying to use real-time activity recognition algorithm

Next Steps:
1) Polish our webpage for PC and Iphone platforms
2) Interview the caregivers to get some valuable suggestions

CASASviz: New Requirements from the Caregivers

At Feb 9th, Heidi, Prafulla and I went to Aging Heath Center at Moscow for inquiring their real needs for our project. These caregivers are very friendly and excited about our project.

The following list is their requirement in need:
1) Anomaly detection: The most worry thing for the caregivers is the safety of the patient in the house. Thus, the safety is the top need for them.
* Leaving home, someone unfamiliar coming home
* Stove and faucet are left open
* Metal in the microwave
* Moving into some dangerous place
* Taking medicine in time

Solution: Based-Rule(Final State Machine) to detect these anomalies. However, we had to make the corresponding rules for them.

2) Monitoring the mobility and Recognizing Activities
* Monitoring the mobility in real time and reviewing history
* Recognize Activities and the Caregivers want to know whether some activities have been finished in right time.

3) Interface
They are very interested into our tool can be implemented on the platform of the smart phones.

CASASviz: Improvement (1)

Here is some improvement to be implemented into our CASASviz 2.0

1)To solve the visualize the data in real time, we will use Raphel SVG library to draw the main graph dynamically. (I already tested the graph. It works very well)

2)Prafulla is working on the client cache part, which will solve us the out-of-memory problem in server.

3)We are planning to apply real-time activity recognition algorithm into our webpage system.javascript:void(0)

CASASviz Summarization 1.0

In our first version of CASASviz project, we implemented several basic functions:
(1) Visualization of residents' mobility;
(2) Visualization of Heatmap mobility;
(3) Visualization of Activity Map;
(4) Visualization of Power Usage.

There are still several drawbacks existing into our CASASviz system.
Firstly, our system generated the SVG file on the PHP server, then sent the whole file to the client side. This solution is not good one due to the limitation of network bandwidth. The system didn't work very well on my Iphone.
Secondly, If the data file we will visualize is very huge, the memory of our php server could not load so many original data.
Thirdly, although we applied google chart tool to implement power usage, it is a static image. To improve the user's experience, we will continue to develop dynamical image using dynamical google visualization tool.