1. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. The camera consists of stereo pair of image sensors controlled by a digital signal controller. Each image sensor delivers an image with a resolution of 30×30 pixels. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

2. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. Living space layout showing the configuration of 10 visual sensors (each containing stereo image sensor) covering an area of 8×4.4 m2. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

3. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. System architecture of the proposed approach. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

4. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. (a) Original images and (b) foreground images produced by the correlation method. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

5. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A graphical representation of an HMM. The dark nodes represent observable variables, whereas the white nodes represent hidden variables. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

6. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A fully connected HMM configuration to recognize five distinct locations. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

7. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A set of rules to identify bathroom and sofa activities as sitting, taking a nap, toilet, taking a shower, or other. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

8. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A set of rules to identify kitchen and dining table activities as out-of-home, sitting, eating, or cooking. L and H stand for low and high micromovements, respectively. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

9. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. Dataset analysis in terms of the number of running visual sensors. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

10. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. The overall estimated time spent after applying the moving average over an interval of 14 days. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

11. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A comparison between the estimated time spent of the HMM approach and kNN classifier against ground truth: (a) 10 running visual sensors and (b) 5 running visual sensors. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

12. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. ADL of a single day: (a) estimated and (b) ground truth. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

13. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. ADL of 4 months: (a) May, (b) June, (c) November, and (d) December. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

14. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. The ADL parameters performed on Sofa 1 from April to December. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

15. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. The average walking time per trip and per month for dining table. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

16. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. The number of times being out-of-home per month. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003

17. Date of download: 6/29/2016 Copyright © 2016 SPIE. All rights reserved. A comparison between sleep duration estimates and ground truth: (a) May and June; (b) October, November, and December. Figure Legend: From: Behavior analysis for elderly care using a network of low-resolution visual sensors J. Electron. Imaging. 2016;25(4):041003. doi:10.1117/1.JEI.25.4.041003