Abstract
In order to provide better monitoring for the elderly or patients, we developed an integrated wireless wearable sensor system that can realize posture recognition and indoor localization in real time. Five designed sensor nodes which are respectively fixed on lower limbs and a standard Kalman filter are used to acquire basic attitude data. After the attitude angles of five body segments (two thighs, two shanks and the waist) are obtained, the pitch angles of the left thigh and waist are used to realize posture recognition. Based on all these attitude angles of body segments, we can also calculate the coordinates of six lower limb joints (two hip joints, two knee joints and two ankle joints). Then, a novel relative localization algorithm based on step length is proposed to realize the indoor localization of the user. Several sparsely distributed active Radio Frequency Identification (RFID) tags are used to correct the accumulative error in the relative localization algorithm and a set-membership filter is applied to realize the data fusion. The experimental results verify the effectiveness of the proposed algorithms.
Highlights
IntroductionHealth care for and monitoring of the elderly is one of the most important issues that should be addressed
There are many problems that have arisen due to the fast-aging population all over the world.Among them, health care for and monitoring of the elderly is one of the most important issues that should be addressed
The main contribution of this study is to develop a novel wearable sensor system, which combines the functions of posture recognition and indoor localization
Summary
Health care for and monitoring of the elderly is one of the most important issues that should be addressed. Since more and more elderly people are living alone, a kind of sensor system is urgently needed, which can monitor the posture and location of the elderly. Their families can obtain timely access to the physical condition and location information of the elderly with the help of this sensor system. If a monitored old person is found to be lying down but not located on the bed, an alarm should be sent out. To effectively detect this situation, the sensor system has to possess both posture recognition and indoor location abilities. There are plenty of researches on sole posture recognition or indoor localization
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