In this paper a new active RFID system at 2.45 GHz based on the low-power system-on-chip CC2530 RF transceiver is designed and implemented. Only by using of an integrated multi-channel fast chip, both the MCU and RF o...In this paper a new active RFID system at 2.45 GHz based on the low-power system-on-chip CC2530 RF transceiver is designed and implemented. Only by using of an integrated multi-channel fast chip, both the MCU and RF operations are done which makes the RFID more reliable and reduces the complexity of the hardware and cost, vividly. This RFID system utilizes the Zig-Bee IEEE 802.15.4 standard in the ISM band. A lot amount of energy is restored by setting Tags in the sleep mode in the most of times. The maximum transmission range of 80 m at the output power of 4.5 dBm is obtained. The main application of this system is for the container identification with precise operation and high accuracy. An active Tag with unique ID is mounted on each vehicle. By enabling the AUTOCRC error detection possibility, minor errors are detected in the received frames. Receiver sensitivity of –97 dBm and current consumption of 1 μA in the sleep mode and 29.6 mA in the active mode are reported.展开更多
RFID-based human activity recognition(HAR)attracts attention due to its convenience,noninvasiveness,and privacy protection.Existing RFID-based HAR methods use modeling,CNN,or LSTM to extract features effectively.Still...RFID-based human activity recognition(HAR)attracts attention due to its convenience,noninvasiveness,and privacy protection.Existing RFID-based HAR methods use modeling,CNN,or LSTM to extract features effectively.Still,they have shortcomings:1)requiring complex hand-crafted data cleaning processes and 2)only addressing single-person activity recognition based on specific RF signals.To solve these problems,this paper proposes a novel device-free method based on Time-streaming Multiscale Transformer called TransTM.This model leverages the Transformer's powerful data fitting capabilities to take raw RFID RSSI data as input without pre-processing.Concretely,we propose a multiscale convolutional hybrid Transformer to capture behavioral features that recognizes singlehuman activities and human-to-human interactions.Compared with existing CNN-and LSTM-based methods,the Transformer-based method has more data fitting power,generalization,and scalability.Furthermore,using RF signals,our method achieves an excellent classification effect on human behaviorbased classification tasks.Experimental results on the actual RFID datasets show that this model achieves a high average recognition accuracy(99.1%).The dataset we collected for detecting RFID-based indoor human activities will be published.展开更多
Tags of micro-power active RFID system are usually supllied by cells battery, the power consumption is a crucial factor. The currently applied operating mode is of timing wake-up. In this paper, presented the method o...Tags of micro-power active RFID system are usually supllied by cells battery, the power consumption is a crucial factor. The currently applied operating mode is of timing wake-up. In this paper, presented the method of LF wake-up technology , discussed how to use it to solve the low-power problem of active RFID tag. Put forward the crucial electrocircuit and working program flow. Practices show that this solution is capable of solving the problem of low-power of active RFID.展开更多
Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and...Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and the increasing number of older people. Radio Frequency Identification (RFID) technologies have been increasingly adopted in smart homes and used widely for indoor localisation. These technologies have been benefiting to healthcare domain where they improve the quality of services delivering by healthcare providers. This article presents a comprehensive review on RFID systems and healthcare research works in smart homes. We also compare RFID-based solutions in healthcare and distinguish challenges of smart home technologies in indoor environment. We also discuss research challenges related to Activity in Daily Living (ADL) in smart homes for wellbeing.展开更多
为了实现生产资料相关数据的无线管理,提出了基于射频识别RFID(Radio Frequency Identification)技术的企业远程管理系统的设计方法。系统采用nRF24LE1芯片作为核心元件,构建有源RFID系统的硬件电路和软件流程,使标签和读写器配置简单,...为了实现生产资料相关数据的无线管理,提出了基于射频识别RFID(Radio Frequency Identification)技术的企业远程管理系统的设计方法。系统采用nRF24LE1芯片作为核心元件,构建有源RFID系统的硬件电路和软件流程,使标签和读写器配置简单,性能稳定,读写距离远,便于系统功能的扩展。在产品、原材料的生产和仓储管理中,可以实现信息的远程自动化监控。展开更多
为解决主动式RFID系统的吞吐量低和识别速度慢等问题,提出一种基于能量和距离分簇(energy and distance clustering,EDC)的主动式RFID防碰撞机制。利用阅读器接收的主动式标签的传输功率大小,将标签依照其与阅读器的距离分为几个簇群,...为解决主动式RFID系统的吞吐量低和识别速度慢等问题,提出一种基于能量和距离分簇(energy and distance clustering,EDC)的主动式RFID防碰撞机制。利用阅读器接收的主动式标签的传输功率大小,将标签依照其与阅读器的距离分为几个簇群,融合现有的主动式防碰撞算法逐一识别每个簇群内的标签。结合EDC机制和纯ALOHA、时隙ALOHA和非坚持CSMA这3种防碰撞算法进行仿真验证。仿真结果表明,该机制的防碰撞算法在吞吐量和平均传输时延方面都明显优于原算法,有效地提高了主动式RFID系统的识别能力。展开更多
文摘In this paper a new active RFID system at 2.45 GHz based on the low-power system-on-chip CC2530 RF transceiver is designed and implemented. Only by using of an integrated multi-channel fast chip, both the MCU and RF operations are done which makes the RFID more reliable and reduces the complexity of the hardware and cost, vividly. This RFID system utilizes the Zig-Bee IEEE 802.15.4 standard in the ISM band. A lot amount of energy is restored by setting Tags in the sleep mode in the most of times. The maximum transmission range of 80 m at the output power of 4.5 dBm is obtained. The main application of this system is for the container identification with precise operation and high accuracy. An active Tag with unique ID is mounted on each vehicle. By enabling the AUTOCRC error detection possibility, minor errors are detected in the received frames. Receiver sensitivity of –97 dBm and current consumption of 1 μA in the sleep mode and 29.6 mA in the active mode are reported.
基金the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDC02040300)for this study.
文摘RFID-based human activity recognition(HAR)attracts attention due to its convenience,noninvasiveness,and privacy protection.Existing RFID-based HAR methods use modeling,CNN,or LSTM to extract features effectively.Still,they have shortcomings:1)requiring complex hand-crafted data cleaning processes and 2)only addressing single-person activity recognition based on specific RF signals.To solve these problems,this paper proposes a novel device-free method based on Time-streaming Multiscale Transformer called TransTM.This model leverages the Transformer's powerful data fitting capabilities to take raw RFID RSSI data as input without pre-processing.Concretely,we propose a multiscale convolutional hybrid Transformer to capture behavioral features that recognizes singlehuman activities and human-to-human interactions.Compared with existing CNN-and LSTM-based methods,the Transformer-based method has more data fitting power,generalization,and scalability.Furthermore,using RF signals,our method achieves an excellent classification effect on human behaviorbased classification tasks.Experimental results on the actual RFID datasets show that this model achieves a high average recognition accuracy(99.1%).The dataset we collected for detecting RFID-based indoor human activities will be published.
文摘Tags of micro-power active RFID system are usually supllied by cells battery, the power consumption is a crucial factor. The currently applied operating mode is of timing wake-up. In this paper, presented the method of LF wake-up technology , discussed how to use it to solve the low-power problem of active RFID tag. Put forward the crucial electrocircuit and working program flow. Practices show that this solution is capable of solving the problem of low-power of active RFID.
文摘Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and the increasing number of older people. Radio Frequency Identification (RFID) technologies have been increasingly adopted in smart homes and used widely for indoor localisation. These technologies have been benefiting to healthcare domain where they improve the quality of services delivering by healthcare providers. This article presents a comprehensive review on RFID systems and healthcare research works in smart homes. We also compare RFID-based solutions in healthcare and distinguish challenges of smart home technologies in indoor environment. We also discuss research challenges related to Activity in Daily Living (ADL) in smart homes for wellbeing.
文摘为了实现生产资料相关数据的无线管理,提出了基于射频识别RFID(Radio Frequency Identification)技术的企业远程管理系统的设计方法。系统采用nRF24LE1芯片作为核心元件,构建有源RFID系统的硬件电路和软件流程,使标签和读写器配置简单,性能稳定,读写距离远,便于系统功能的扩展。在产品、原材料的生产和仓储管理中,可以实现信息的远程自动化监控。
文摘为解决主动式RFID系统的吞吐量低和识别速度慢等问题,提出一种基于能量和距离分簇(energy and distance clustering,EDC)的主动式RFID防碰撞机制。利用阅读器接收的主动式标签的传输功率大小,将标签依照其与阅读器的距离分为几个簇群,融合现有的主动式防碰撞算法逐一识别每个簇群内的标签。结合EDC机制和纯ALOHA、时隙ALOHA和非坚持CSMA这3种防碰撞算法进行仿真验证。仿真结果表明,该机制的防碰撞算法在吞吐量和平均传输时延方面都明显优于原算法,有效地提高了主动式RFID系统的识别能力。
