Human Motion Analysis Based on Sequential Modeling of Radar Signal and Stereo Image Features

Falls are one of the greatest threats to elderly health in their daily living routines and activities. Therefore, it is very important to detect falls of an elderly in a timely and accurate manner, so that immediate response and proper care can be provided, by sending fall alarms to caregivers. Radar is an effective non-intrusive sensing modality which is well suited for this purpose, which can detect human motions in all types of environments, penetrate walls and fabrics, preserve privacy, and is insensitive to lighting conditions. Micro-Doppler features are utilized in radar signal corresponding to human body motions and gait to detect falls using a narrowband pulse-Doppler radar. Human motions cause time-varying Doppler signatures, which are analyzed using time-frequency representations and matching pursuit decomposition (MPD) for feature extraction and fall detection. The extracted features include MPD features and the principal components of the time-frequency signal representations. To analyze the sequential characteristics of typical falls, the extracted features are used for training and testing hidden Markov models (HMM) in different falling scenarios. Experimental results demonstrate that the proposed algorithm and method achieve fast and accurate fall detections. The risk of falls increases sharply when the elderly or patients try to exit beds. Thus, if a bed exit can be detected at an early stage of this motion, the related injuries can be prevented with a high probability. To detect bed exit for fall prevention, the trajectory of head movements is used for recognize such human motion. A head detector is trained using the histogram of oriented gradient (HOG) features of the head and shoulder areas from recorded bed exit images. A data association algorithm is applied on the head detection results to eliminate head detection false alarms. Then the three dimensional (3D) head trajectories are constructed by matching scale-invariant feature transform (SIFT) keypoints in the detected head areas from both the left and right stereo images. The extracted 3D head trajectories are used for training and testing an HMM based classifier for recognizing bed exit activities. The results of the classifier are presented and discussed in the thesis, which demonstrates the effectiveness of the proposed stereo vision based bed exit detection approach.

Integration of Sustainable Development Principles into a Community Park

Characteristics of six operating hot spring recreational facilities were reviewed to identify opportunities for integrating a range of sustainable design and operation approaches into a community park. Potential operating cost savings were evaluated for a conceptual landscape project, bathhouse project, and swimming pool project that reduced the use of electricity, natural gas, water, the discharge of water, and solid waste generation. The projects showed a combined cost savings of approximately $40,000 per year by adopting passive solar design, energy efficient lighting, native vegetation, water efficient fixtures, and a natural swimming pool. The greatest potential operating cost reductions were observed for cutbacks in the use of swimming pool water and reductions in natural gas needed for building and swimming pool heating.

Construction of a Sustainable City Park in Ruddle, WV: A Model for Sustainable Park Design in Humid Climates

Three sustainable projects were studied under a sustainable park model for humid climates to determine where their costs lie in terms of installation, maintenance or both. These projects included the use of solar lighting to replace every configuration of conventional lighting, inclusion of a water garden/bog filter and Riparian Buffer System for the purposes of filtering sediments and nutrients out of runoff to prevent contaminated runoff from reaching the river that was adjacent to the park model location and construction of a LEED-inspired building to serve as the concession stand/restrooms building. The aggregate cost savings of instituting all three projects over ten years was $74,120 and the entire project paid itself off in approximately four years.