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Falls are a multi-causal phenomenon with a complex interaction. The aim of our research is to study the effect of multiple variables for potential risk of falls and construct an elderly fall risk assessment model based on demographics data and gait characteristics. A total of 101 subjects, whom belong to Malianwa Street, aged above 50 years old and participated in questionnaire survey. Participants...
This paper presents a new adaptive fuzzy approach for background estimation in video sequences of complex scene from the function estimation point of view. A Takagi-Sugeno-Kang (TSK) type fuzzy system is used as the function estimator in the study. The proposed approach uses a hybrid learning method combining both the particle swarm optimization (PSO) and the Kernel Least Mean Square (KLMS) to train...
In wireless sensor networks (WSNs), the energy and function of sensor nodes are limited. Congestion occurs frequently in many to one and multi-hop transferring nodes. It can cause packets dropout, low energy efficiency, and long delay. The network congestion control is a key to improve the QoS of network. Most studies were carried out at the transport layer in congestion detection and rate adjustment...
Under complex scene urban environment, in order to detect pedestrians efficiently and accurately, we propose a high real-time and robust performance pedestrian detection method based on machine vision in this paper. Firstly, a new feature called Locally Assembled Binary Haar-like (LABH) is selected as the feature vector. In this novel feature, Haar features keep only the ordinal relationship named...
We have synthesized a series of mercapto compounds containing polyethylene glycol (PEG) group for water solubility and bio-compatibility. Those mercapto compounds were used to prepare fluorescent supramolecular assemblies which contain CdSe nanoparticles as the fluorescent moiety and those mercapto compounds as the modifier. Besides PEG group, many other functional groups were also designed in the...
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