Pressure sensors have been used for sleeping posture detection, which meet privacy requirements. Most of the existing techniques for sleeping posture recognition used force-sensitive resistor (FSR) sensors. However, lower limbs cannot be recognized accurately unless thousands of sensors are deployed on the bedsheet. We designed a sleeping posture recognition scheme in which FSR sensors were deployed on the upper part of the bedsheet to record the pressure distribution of the upper body. In addition, an infrared array sensor was deployed to collect data for the lower body. Posture recognition was performed using a fuzzy c-means clustering algorithm. Six types of sleeping body posture were recognized from the combination of the upper and lower body postures. The experimental results showed that the proposed method achieved an accuracy of above 88%. Moreover, the proposed scheme is cost-efficient and easy to deploy. The proposed sleeping posture recognition system can be used for pressure ulcer prevention and sleep quality assessment. Compared to wearable sensors and cameras, FSR sensors and infrared array sensors are unobstructed and meet privacy requirements. Moreover, the proposed method provides a cost-effective solution for the recognition of sleeping posture.

This paper proposes body posture recognition and turning recording system for assisting the care of bed bound patients in nursing homes. The system continuously detects the patient's body posture and records the length of time for each body posture.

BACKGROUND: Typical radio frequency identification (RFID) access control system can be ineffective if an unauthorized person tailgates an authorized person through an access area. OBJECTIVE: To propose a system by using indoor locating and tracking techniques address this problem, which is to prevent unauthorized Alzheimer’s and dementia patients from getting lost including by tailgating. METHODS: To achieve accurate target location, passive RFID deployment strategy is studied and a fingerprinting based passive RFID localization algorithm is proposed. The proposed system was evaluated in a building environment to simulate the performance of access control. RFID reader was installed on ceiling near the access area and tags were stitched on both shoulders of the experiment subject’s garments. RESULTS: The probability of the error distance within 0.3 m achieved 97% in the warning area; the location precision achieved 97% within 0.4 m in the monitoring area. CONCLUSIONS: The result showed that if an unauthorized person enters the restricted area, the system can initiate an alert signal accurately. Therefore, the proposed system is very suitable to be used in nursing home or hospital to prevent unauthorized personnel and assets entering/exiting a confined location.

JFFS2 (Journaling Flash File System, version 2) is a popular file system of Linux platform that is employed to manage NAND type flash memory, briefly denoted by NandFlash. Based on JFFS2 mechanism, we propose an effective management method of NandFlash, new flash file system for NandFlash called NFFSNand. Our method focuses on reducing the cycle-leveling degree in a balanced manner. Moreover, NFFSNand can enhance the system performance and prolongs life-cycle of NandFlash. In this study, we verify the system cost, the reliability, and space utilization of NFFSNand are better than JFFS2 by 50% at Samsung SMDK2410X platform