Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

Abstract

Providing personal and location-dependent services is one of the promising services in public spaces like a shopping mall. So far, sensors in the environment have reliably detected the current positions of humans, but it is difficult to identify people using these sensors. On the other hand, wearable devices can send their personal identity information, but precise position estimation remains problematic. In this paper, we propose a method of associating wearable accelerometers and foot tracking results using laser range finders in the environment. First we propose an association method based on signal correlation between biped foot and accelerometer. However, in crowded situations, sometimes only one foot of a pedestrian is observed because of occlusion. To cope with the problem, we propose a new evaluation function that focuses on the phase dependent correlation of cyclic walking behavior. Example results of tracking individuals in the environment confirm the effectiveness of this method.

The Construction of Big Data Computational Intelligence System for E-Government in Cloud Computing Environment and Its Development Impact

“…rough the analysis of the development of information resources in China, the importance of knowledge management in the management of government information resources is elaborated, and the strategy of using knowledge management in the development and utilization of government information resources is proposed. rough a survey of 300 valid questionnaires on the impact of big data on community management and influence, the majority of people affirmed that big data can help the government improve scientific and rational decision-making [20,21].…”

Radar‐ID: human identification based on radar micro‐Doppler signatures using deep convolutional neural networks

“…Although these methods have achieved high accuracy, they still have their own limitations. Wearable sensors [9] require to be worn in a strict way to ensure correct operations, whereas most people are uncomfortable with a sensor around them all the time. Methods based on video or camera [5, 7] usually need enough light and line‐of‐sight conditions.…”