This study aimed to evaluate the effect of types of horticultural activities among elderly individuals in a senior citizen learning camp. We arranged four horticultural activities: Grass Doll, Kokedama, Rocky Leaf Prints, and Herb Tasting and Smelling. Twenty-seven senior citizens (60 to 76 years) were recruited to participate. We assessed their physiological and mental state before and after the activities by measuring heart rate variability (HRV), pulse rate, blood pressure, salivary amylase activity (SAA), and Profile of Mood States (POMS). Results showed that SAA was significantly lower after the Rocky Leaf Prints, Herb Tasting and Smelling, and Kokedama. Pulse rate had a downward trend after the four horticultural activities. The ratio of low frequency (LF) over high frequency (HF) results showed that the Rocky Leaf Prints had a larger downward trend, followed by Herb Tasting and Smelling. POMS scores indicated significant improvement for Rocky Leaf Prints and Herb Tasting and Smelling. The types including artistic creation and food tasting were promising methods for psychological relaxation, stress reduction, and vigor enhancement for elderly persons. Findings showed that the impact of activities involving contact with plants was more significant in short-term activities. We hope this study can help plan the horticultural activities of the elderly in the future.
This paper presents a computer vision system for detecting lanes and vehicles on highway at night. This system recognizes the rear-lights of vehicles from the night scene image on highway, as viewed by a camera-assisted car behind. The detection of rear-lights is usually complicated by the existence of reflector plates on ground, multiple cars, and the environment lightening. The variation of the shapeisize and height of rear-lights, and the wide range of possible distance from the observing vehicle also add extra complexity to the recognition. In this research, we take the approach of first detecting the reflector plates among the bright spots in the highway night scene, which indicate the lane borders. Through the brightness and area filtering, the reflector plates can he extracted. Removing the reflector spots from the bright-spot image and using the information of detected lanes, the pairing of rear-lights to find vehicles can be simplified. Experiment shows the success of this approach in detecting multiple vehicles on highway.
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