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    • 2. 发明申请
    • SELF-AWARE ADAPTIVE POWER CONTROL SYSTEM AND A METHOD FOR DETERMINING THE CIRCUIT STATE
    • 自适应功率控制系统和确定电路状态的方法
    • US20090158073A1
    • 2009-06-18
    • US11971480
    • 2008-01-09
    • Wei-Chih HSIEHWei Hwang
    • Wei-Chih HSIEHWei Hwang
    • G06F11/30
    • H03K19/0016
    • The present invention provides a self-aware power control system and a method for determining the circuit state. The self-aware adaptive power control architecture comprises of a multi-mode power gating network, a current monitoring translator, a variable threshold comparator, a slack detector, and a bi-directional shift register. The multi-mode power gating network controls the amount of supply current and hence the circuit speed. The power gating network can be composed of either N-type MOSFETs for virtual ground insertion or P-type MOSFETs for virtual supply insertion. The number of MOSFETs in the multi-mode power gating network can be configured according to the supply range and step difference of the supply current. Then, by monitoring the current characteristics drained by target circuit, the circuit state can be determined. No delay matching circuit is required. Together with other peripherals, the supply current can be down controlled to a minimum acceptable level. The circuit will use up all available slack. The smaller current implies lower power consumption as well. Furthermore, the present invention is capable of self adaptation to frequency change. To summarize, the present invention can make the circuit consume least power under various frequency achieving best power efficiency.
    • 本发明提供一种用于确定电路状态的自感知功率控制系统和方法。 自感知自适应功率控制架构包括多模电源门控网络,电流监视转换器,可变阈值比较器,松弛检测器和双向移位寄存器。 多模电源门控网络控制电源电流量,从而控制电路速度。 电源门控网络可以由用于虚拟接地插入的N型MOSFET或用于虚拟电源插入的P型MOSFET组成。 多模电源门控网络中的MOSFET数量可以根据电源电流的供电范围和阶差进行配置。 然后,通过监视由目标电路排出的电流特性,可以确定电路状态。 不需要延迟匹配电路。 与其他外围设备一起,电源电流可以下调至最低可接受水平。 电路将耗尽所有可用的松弛。 较小的电流也意味着较低的功耗。 此外,本发明能够对频率变化进行自适应。 总而言之,本发明可以使电路在各种频率下消耗最小功率,实现最佳功率效率。
    • 4. 发明申请
    • MULTI-PERSON POSE RECOGNITION SYSTEM USING A ZIGBEE WIRELESS SENSOR NETWORK
    • 使用ZIGBEE无线传感器网络的多人位置识别系统
    • US20090161915A1
    • 2009-06-25
    • US12048678
    • 2008-03-14
    • Chun-Wei ChenKai-Tai Song
    • Chun-Wei ChenKai-Tai Song
    • G06K9/00
    • A61B5/1123A61B5/1038A61B5/1117A61B5/726A61B5/7264A61B2562/0219
    • In the present invention, a multi-person pose recognition system has been developed. This system includes a body pose detection module, a CC2420DBK board and a multi-person pose monitoring software module. The body pose detection module includes a triaxial accelerometer, a Zigbee chip and an 8-bit microcontroller. Several body pose detection modules and the CC2420DBK board form a Zigbee wireless sensor network (WSN). The CC2420DBK board functions as the receiver of the Zigbee WSN and communicates with a robot onboard computer or a host computer through a RS-232 port. The multi-person pose monitoring software monitors and records activities of multiple users simultaneously. The present invention provides a pose recognition algorithm by combining time-domain analysis and wavelet transform analysis. This algorithm has been implemented in the microcontroller of a body pose estimation module. Through the algorithm, the system can recognize seven body poses: falling, standing, sitting, lying, walking, going upstairs and going downstairs.
    • 在本发明中,已经开发了一种多人姿态识别系统。 该系统包括身体姿势检测模块,CC2420DBK板和多人姿态监测软件模块。 身体姿势检测模块包括三轴加速度计,Zigbee芯片和8位微控制器。 几个身体姿势检测模块和CC2420DBK板组成了Zigbee无线传感器网络(WSN)。 CC2420DBK板作为ZigBee WSN的接收器,通过RS-232端口与机器人板载计算机或主机进行通信。 多人姿态监控软件同时监控和记录多个用户的活动。 本发明通过组合时域分析和小波变换分析提供姿态识别算法。 该算法已经在身体姿态估计模块的微控制器中实现。 通过算法,系统可以识别七个身体姿势:摔倒,站立,坐着,躺着,走路,上楼去楼下。