Abstract
Smart technologies are necessary for ambient assisted living (AAL) to help family members, caregivers, and health-care professionals in providing care for elderly people independently. Among these technologies, the current work is proposed as a computer vision-based solution that can monitor the elderly by recognizing actions using a stereo depth camera. In this work, we introduce a system that fuses together feature extraction methods from previous works in a novel combination of action recognition. Using depth frame sequences provided by the depth camera, the system localizes people by extracting different regions of interest (ROI) from UV-disparity maps. As for feature vectors, the spatial-temporal features of two action representation maps (depth motion appearance (DMA) and depth motion history (DMH) with a histogram of oriented gradients (HOG) descriptor) are used in combination with the distance-based features, and fused together with the automatic rounding method for action recognition of continuous long frame sequences. The experimental results are tested using random frame sequences from a dataset that was collected at an elder care center, demonstrating that the proposed system can detect various actions in real-time with reasonable recognition rates, regardless of the length of the image sequences.
Highlights
Because of recent advances in medicine, people live longer than before, partly accounting for a rapid increase in population
Depth motion history (DMH): As for the actual action performed in the real world, we identify the action using common sense by determining the appearance history, and the temporal history of a motion
The proposed system in this article focused on a vision-based solution for monitoring and recognizing the various actions of elderly people, using depth maps recorded by a depth camera
Summary
Because of recent advances in medicine, people live longer than before, partly accounting for a rapid increase in population. Society and health care systems face many demanding challenges because of this aging population. Researchers have developed assistive technologies, which can empower people in the digital environment One such technology is called ambient assisted living (AAL). The background image is subtracted for clearly extracting objects in the foreground. An example of a foreground frame with curtain pixels is shown in these the view of each room is obscured by a curtain at night, and Figure 9a. In this example of a depth frame, an elderly person is using a bedside commode as the noise inissome frames.
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