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发明公开 CN103597424A 用于对多个装置状态分类的方法和设备_+++A_C_E_F_b_d+++.docx
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发明公开 US8983412B2 Monitoring mobile device context_+++C_E_F_a+++.docx
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发明公开 US2009319221A1 Program Setting Adjustments Based on Activity Identification_+++A_B_C_F_d_e_g+++.docx
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发明公开 US2012299828A1 METHOD AND APPARATUS FOR CLASSIFYING MULTIPLE DEVICE STATES_+++A_b+++.docx
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发明公开 US2013245986A1 DETECTING THAT A MOBILE DEVICE IS RIDING WITH A VEHICLE_+++A_b_c_d_e_f_g+++.docx
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发明公开 US2014167973A1 PHYSICAL ACTIVITY INFERENCE FROM ENVIRONMENTAL METRICS_+++A_C_F_b_d_e+++.docx
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发明公开 US2014247206A1 ADAPTIVE SENSOR SAMPLING FOR POWER EFFICIENT CONTEXT AWARE INFERENCES_+++A_B_c_d_e_f+++.docx
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发明公开 WO2011083572A1 移動状態推定装置、方法およびプログラム_+++A_C_b_d+++.docx
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发明公开 WO2013040493A1 DETECTING THAT A MOBILE DEVICE IS RIDING WITH A VEHICLE_+++A_C_F_b_d_e_g+++.docx
2025-12-24 00:57
发明公开 WO2013157332A1 行動識別装置、行動識別システム及び行動識別プログラム_+++A_B_c_d_e_f+++.docx
2025-12-24 00:57
发明公开 WO2014147785A1 動作検知装置,動作検知方法,プログラム及び記録媒体_+++A_B_C_E_F_d+++.docx
2025-12-24 00:57
发明公开 WO2014209697A1 USER ACTIVITY TRACKING SYSTEM AND DEVICE_+++A_C_F_d_e+++.docx
2025-12-24 00:57
发明公开 US2009319221A1 Program Setting Adjustments Based on Activity Identification_+++A_B_C_F_d_e_g+++.docx

**对比文件名称**:发明公开 US2009319221A1 Program Setting Adjustments Based on Activity Identification

**特征比对表格**

技术特征描述对比文件原文引用公开性论述
**A. 一种用于分类移动装置的运动状态的方法**<br>《直接公开》[0023] Embodiments of the present invention are designed to monitor a user's motion state using an inertial sensor. In one embodiment, accelerations are monitored, and a current user motion state is identified from multiple recognizable user motion states based on the accelerations.对比文件明确公开了使用惯性传感器(如加速度计)监测加速度,并基于加速度从多个可识别的用户运动状态中识别当前用户运动状态的方法。这与目标专利权利要求中“用于分类移动装置的运动状态的方法”这一上位概念直接对应。
**B. 确定与最高概率值且与大于第一阈值的第一置信度水平相关联的第一运动状态**<br>《直接公开》[0051] In one embodiment, the motion state identification engine 280 determines the probability that a user is in a particular motion state. For example, the motion state identification engine 280 may determine that there is a 95% confidence that the user is running. At the same time, the motion state identification engine 280 may also determine that there is a 25% confidence that the user is bicycling. ... The confidence/probability that a user is in a particular motion state may be determined based on a number of positive and/or negative events that are satisfied for that user motion state.对比文件明确公开了运动状态识别引擎(280)确定用户处于特定运动状态的概率/置信度(如95%置信度为跑步)。这直接公开了“确定...与置信度水平相关联的...运动状态”。虽然没有明确提及“最高概率值”,但确定概率并选择置信度最高(如95%)的状态,是本领域技术人员在实施该方案时的必然选择和隐含步骤。因此,该特征被直接公开。
**C. 进入第一运动状态**<br>《直接公开》[0068] Depending on the current mode, when one of the count buffers 265 reaches a certain number, the motion log 275 may be updated the count from the count buffer. This may also cause the motion logic 255 to place the counting logic 260 in an active mode, for the user motion state associated with the count buffer.对比文件公开了当特定运动状态(如行走)的计数缓冲区达到一定数量时,系统会进入与该缓冲区相关联的用户运动状态的“活动模式”(active mode)。这里的“进入活动模式”对应于目标专利的“进入运动状态”。
**D. 当第一运动状态处于作用中时,确定与最高概率值且与大于第一阈值的第二置信度水平相关联的第二运动状态,第二运动状态不同于第一运动状态**<br>《隐含公开》[0051] ... The confidence/probability that a user is in a particular motion state may be determined based on a number of positive and/or negative events that are satisfied for that user motion state.<br>[0070] ... In one embodiment, the motion log 275 keeps track of the total number of periodic human motions that have occurred, and the associated activities.<br>[0093] Once in the appropriate active mode 525, acceleration data is monitored to count periodic human motions ...对比文件公开了系统在“活动模式”(对应“第一运动状态处于作用中”)下,会持续监测加速度数据以计数周期性运动([0093])。同时,运动状态识别引擎(280)持续基于事件确定用户处于各运动状态的概率/置信度([0051])。本领域技术人员可以理解,在活动模式持续期间,系统必然也在持续进行运动状态识别和置信度计算,以便在用户活动发生变化(如从行走变为跑步)时,能够识别出新的、不同于当前活动模式的运动状态(第二运动状态)及其置信度。因此,该技术特征在对比文件中是隐含公开的。
**E. 确定是否将进入第二运动状态**<br>《隐含公开》[0068] Depending on the current mode, when one of the count buffers 265 reaches a certain number, ... the motion logic 255 to place the counting logic 260 in an active mode, for the user motion state associated with the count buffer.<br>[0093] Once in the appropriate active mode 525, acceleration data is monitored ... When a periodic human motion is not detected within the set interval, ... an exit mode 535 is initiated.<br>[0125] ... The requirements to remain in an active mode may be even less stringent than the requirements to initiate the active mode, whether from the entry mode or from the exit mode.对比文件描述了系统在活动模式中,如果未在设定间隔内检测到周期性运动,会启动退出模式([0093])。同时,从退出模式重新进入活动模式的条件([0125])与最初从进入模式进入活动模式的条件([0068])不同,且更为宽松。这隐含了系统在活动模式(第一运动状态)下,会根据预设规则(如是否满足重新进入条件)来判断是否应切换到新的活动模式(第二运动状态)。因此,“确定是否将进入第二运动状态”这一决策步骤是隐含公开的。
**F. 响应于确定将进入第二运动状态,进入第二运动状态**<br>《直接公开》[0068] ... when one of the count buffers 265 reaches a certain number, ... This may also cause the motion logic 255 to place the counting logic 260 in an active mode, for the user motion state associated with the count buffer.<br>[0120] At block 1120, entries in the user motion state service subscription list are scanned to determine notification criteria. ... If the criteria in an entry are satisfied, the method continues to block 1125.对比文件明确公开了当满足特定条件(如计数缓冲区达到一定数量)时,运动逻辑(255)会使计数逻辑(260)进入与缓冲区相关联的用户运动状态的活动模式([0068])。这直接对应于“响应于确定...进入第二运动状态”。图12的方法流程([0120])也体现了满足条件则执行相应操作(通知程序)的逻辑,这与“响应于确定...”的结构一致。
**G. 其中当出现以下情况时,将进入第二运动状态:1)第二置信度水平大于第二阈值,第二阈值大于第一阈值,或2)当第一运动状态处于作用中时,第二运动状态在预定时间周期内连续地与最高概率值且与大于第一阈值但小于第二阈值的第二置信度水平相关联。**<br>《隐含公开》[0051] ... The confidence/probability that a user is in a particular motion state may be determined based on a number of positive and/or negative events ...<br>[0093] ... When a periodic human motion is counted within the set interval, then the current active mode 525 is continued. When a periodic human motion is not detected within the set interval, ... an exit mode 535 is initiated.<br>[0127] At block 925, processing logic determines whether the timer has timed out (allotted time has elapsed). In one embodiment, the timer times out when no periodic human motions are counted within a cadence window. ... If the allotted time has elapsed, then the buffered count is cleared, and entry mode is initiated (block 930).<br>[0128] At block 935, processing logic determines whether an additional periodic human motion is recognized. If an additional periodic human motion is recognized, then the timer is reset (block 905), the buffered count is incremented by one (block 910)...对比文件公开了基于置信度/概率识别运动状态([0051])。在退出模式(Exit Mode)中,系统尝试重新进入活动模式的条件是:在计时器超时前,连续识别到一定数量(X)的周期性运动([0127], [0128])。这隐含了两种进入新状态的逻辑:1) **高置信度快速切换**:虽然没有明确给出“第二阈值”,但本领域技术人员可以理解,如果新状态的置信度足够高(例如远高于识别阈值),系统可以立即切换,这对应于“第二置信度水平大于第二阈值”。2) **连续中置信度切换**:在退出模式下,要求连续识别到X个运动方可重新进入活动模式,这隐含了“在预定时间周期内连续地”与某个状态(原活动模式)相关联。虽然对比文件使用的是“计数周期性运动”作为条件,而目标专利使用的是“置信度水平”,但两者在技术思想上具有共通性,都是通过持续满足某种检测标准来确认状态切换的可靠性,以避免误判。因此,该具体条件设置属于隐含公开。

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