**对比文件名称**：2014-06-05_US2014157401A_发明申请_US20140157401A1 Method of Dynamically Adjusting an Authentication Sensor
**目标专利名称**：基于传感器输入的可缩放验证过程选择 CN107077551B
**本次调用模型名称**：专利创造性评估模型
### 特征比对表格
| 技术特征描述以及公开性判断结果 | 对比文件原文引用 | 公开性论述 |
| **技术特征A**：其包括：多个传感器<br>**《直接公开》** | [0002] “Disclosed herein is an electronic device having an authentication means for identifying an authorized user.”<br>[0011] “... an electronic computing device 100 ... may include ... a context sensor, and an authentication sensor.”<br>[0012] “These authorization means 110 may include imaging recognition means 120 ... voice recognition, fingerprint sensors, touch sensors ... Some gestures may also be detected off-glass ...”<br>[0013] “... multiple sensors for sensing biometrics ... and contextual information ... The biometrics sensor identification level may be adjusted based on information from other sensors ... Some example contextual types include location as measured by a sensor ... Voice data may be sensed by a voice recognition sensor ... An IR LED sensor may be combined with the imaging sensor ... Other sensors such as a proximity sensor, an accelerometer, a gyroscope, or an ambient light sensor (ALS) ... A color sensor ... An accelerometer or gyroscope ... Additional sensor may enable grip detection via a capacitive, thermal, or pressure sensor ... a smell sensor ...” | 对比文件明确公开了一种电子计算设备（如智能手机、平板电脑），其包含用于认证的多种传感器。具体列举了成像传感器（用于面部、虹膜、手掌静脉识别）、麦克风（用于语音识别）、指纹传感器、触摸传感器、接近传感器、加速度计、陀螺仪、环境光传感器、颜色传感器、压力传感器、气味传感器等多种传感器类型。这些传感器共同构成了“多个传感器”，其作用同样是用于用户身份验证，与目标专利中移动装置包含多个传感器的作用相同。因此，本领域技术人员能够毫无疑义地确定对比文件直接公开了“多个传感器”这一技术特征。 |
| **技术特征B**：基于源自所述多个传感器的一个或多个传感器输入来确定多个验证过程<br>**《隐含公开》** | [0011] “A method is disclosed herein for employing detected device context, user history, and inferred identity to cause biometric sensors identification levels to automatically adjust to reduce device access time, computational complexity, and power.”<br>[0013] “The biometrics sensor identification level may be adjusted based on information from other sensors providing information and patterns about a user ... The adjustment of the biometrics sensor identification level further includes prioritizing a subset of biometric sensors and also eliminating inadequate sensors based on device context.”<br>[0032] “Security levels may be dynamically adjusted for one sensor output versus another sensor output.”<br>[0034] “Based on device context, certain data in device may require different level of security than other stored data.” | 对比文件公开了根据设备上下文、用户历史等信息，动态调整生物识别传感器的安全级别（或识别级别）。这一调整过程包括：基于设备上下文，优先选择（prioritizing）一个生物识别传感器子集，并排除（eliminating）不合适的传感器。这隐含了在调整时，设备需要先“确定”哪些传感器/验证方法是可用的或合适的，即存在一个潜在的“多个验证过程”集合（如图像识别、语音识别、指纹识别等），然后根据上下文信息对这些方法进行筛选和优先级排序，以选择最终使用的验证方式。虽然对比文件没有明确使用“确定多个验证过程”的表述，但其描述的“调整、优先选择、排除”等操作，必然以存在或确定一个可选的验证方法集合为前提。因此，本领域技术人员能够从对比文件公开的“基于传感器输入调整生物识别传感器级别”这一技术手段中，合理推断出需要“基于源自传感器的输入来确定多个验证过程”这一步骤。 |
| **技术特征C**：基于向应用程序或服务提供商中的至少一者验证的移动装置能力来确定多个验证过程<br>**《未公开》** | [0016] “Each application security level may differ depending on their purpose. For example, a banking application likely requires a higher security level than a conventional phone application.”<br>[0035] “Security level can be based on the type of application employed or selected for electronic computing device 100, such as email versus banking, or a social networking application or a camera application.” | 对比文件公开了安全级别可以根据所使用或选择的应用程序类型（如银行应用、电子邮件应用）而不同。这表明在确定安全要求（或选择验证方法）时，会考虑“应用程序”。然而，目标专利中的“移动装置能力”特指移动装置本身向应用程序或服务提供商进行验证的硬件或软件能力，例如是否具备特定的传感器（如指纹传感器、虹膜扫描仪）。对比文件虽然提到了应用程序类型影响安全级别，但并未提及或暗示需要基于“移动装置是否具备执行特定验证过程的能力”（即移动装置能力）来确定哪些验证过程是可用的。对比文件关注的是根据应用需求和上下文“调整”安全级别，而非根据设备能力“确定”可用的验证过程集合。因此，该特征既未被直接公开，也无法从对比文件内容中合理推断得出。 |
| **技术特征D**：从所述多个验证过程选择其中验证过程的信任指数大于风险指数的验证过程<br>**《未公开》** | [0016] “These differing security level adjustments for the applications are paired or coupled with the contextual information for the device.”<br>[0025] “... adjust the security levels to allow access to the device or increase security levels for greater difficulty in accessing the device ... a level of confidence has to be established for the electronic computing device 100.”<br>[0032] “Security levels may be dynamically adjusted for one sensor output versus another sensor output.”<br>[0034] “Confidence level may be impacted based on stored calendar inputs, location, and user history; hence confidence level settings may be dynamic ... Confidence level and thereby ultimately a security level access may be dynamically adjusted ...” | 对比文件公开了根据设备上下文、用户历史等建立“置信度（confidence level）”，并基于此动态调整“安全级别（security level）”。其核心逻辑是：当置信度高时，可以降低安全级别要求；当置信度低时，则需要提高安全级别要求。这个过程涉及对“安全要求”（可类比为风险）和“当前验证方法可提供的安全水平”（可类比为信任）的权衡。**然而**，对比文件并未明确建立“信任指数”和“风险指数”这两个独立、可比较的量化或半量化参数，更没有公开“选择信任指数大于风险指数的验证过程”这一具体的选择逻辑和判断准则。目标专利的该特征是一个明确的、基于两个指数比较的选择机制。对比文件仅描述了根据上下文“调整”安全级别，其调整逻辑（如提高或降低）是隐含的，并未表述为指数比较的形式。因此，该特征未被对比文件公开。 |
| **技术特征E**：其中，所述风险指数是基于一个或多个背景输入或基于预指派的风险等级来确定的<br>**《直接公开》** | [0013] “Some example contextual types include location as measured by a sensor configured to receive location data. The location data may be correlated to GPS, Wi-Fi, indoor navigation, triangulation, and barometer reading, for example. Data related to a route traveled may be determined ... Voice data may be sensed ... the ambient environment may be determined from an imaging sensor ... Other sensors such as a proximity sensor, an accelerometer, a gyroscope, or an ambient light sensor (ALS) ... A color sensor ... An accelerometer or gyroscope ... grip detection ... a smell sensor ...”<br>[0016] “These differing security level adjustments for the applications are paired or coupled with the contextual information for the device. Some contextual modes may include data from a calendar entry, route location, and other contexts as well, such as time of day, ambient lighting conditions, elevation, environmental conditions, for example.”<br>[0016] “Each application security level may differ depending on their purpose. For example, a banking application likely requires a higher security level than a conventional phone application.” | 对比文件明确公开了确定安全级别（可类比为风险要求）时，基于多种“背景输入（contextual information）”，包括：位置、路线、环境光照、环境条件、日历事件、时间等（对应目标专利的背景输入）。同时，对比文件也明确公开了安全级别可以基于应用程序的类型（如银行应用、电话应用）进行预设定，即“预指派的风险等级”。例如，银行应用比普通电话应用需要更高的安全级别。这与目标专利中“风险指数基于背景输入或预指派的风险等级确定”的作用完全相同，都是用于表征当前操作环境或任务的安全风险水平。因此，本领域技术人员能够毫无疑义地确定对比文件直接公开了该技术特征。 |
| **技术特征F**：且其中所述信任指数是基于所述一个或多个传感器输入来确定的<br>**《未公开》** | [0011] “... cause biometric sensors identification levels to automatically adjust ...”<br>[0013] “The biometrics sensor identification level may be adjusted based on information from other sensors ...”<br>[0032] “Security levels may be dynamically adjusted for one sensor output versus another sensor output.” | 对比文件确实提到了根据传感器输入（如环境光、位置等）来“调整（adjust）”生物识别传感器的“识别级别（identification levels）”或“安全级别（security levels）”。然而，目标专利中的“信任指数”是一个基于传感器输入（特别是生物识别传感器输入）计算得出的、用于表征特定验证过程可靠性的参数。对比文件调整的是“安全级别要求”本身（类似于目标专利中的风险要求），或者是对特定传感器识别准确度的要求（如放松或收紧），并没有独立提出一个基于传感器输入计算的、名为“信任指数”的参数，并将其用于与风险指数比较的选择逻辑中。调整安全级别与计算信任指数在概念和用途上存在差异。因此，该特征未被对比文件公开。 |
| **技术特征G**：且其中所述背景输入包括所述移动装置的当前背景情境或用户数据或这两者<br>**《直接公开》** | [0011] “A method is disclosed herein for employing detected device context, user history, and inferred identity ...”<br>[0013] “... contextual information also corresponding to the user and his activities.”<br>[0016] “Some contextual modes may include data from a calendar entry, route location, and other contexts as well, such as time of day, ambient lighting conditions, elevation, environmental conditions, for example.”<br>[0023] “Additionally, a user's historical profile may be gleaned and used in addition to the contextual modes regarding their previous locations and usages associated with the electronic device 100.” | 对比文件明确且多次提及“设备上下文（device context）”和“用户历史（user history/user's historical profile）”。设备上下文包括时间、位置、环境条件等，即“移动装置的当前背景情境”。用户历史包括用户之前的位置和使用情况，即“用户数据”。这与目标专利中背景输入包括当前背景情境或用户数据的作用完全一致，都是用于评估风险或置信度的信息来源。因此，本领域技术人员能够毫无疑义地确定对比文件直接公开了该技术特征。 |
| **技术特征H**：以及执行所选择的验证过程。<br>**《直接公开》** | [0031] “Authenticate 440 the user where it is possible, and grant the user access to the operational functionality of the device, including accessible features and applications.” | 对比文件在流程图中明确包含了“认证（Authenticate）”用户的步骤，并在描述中说明认证后授予用户访问权限。这对应于执行验证过程以完成身份验证。因此，本领域技术人员能够毫无疑义地确定对比文件直接公开了“执行验证过程”这一技术特征。 |
| **技术特征I**：其中，所述用户数据包括人口统计数据、交易数据或位置数据中的至少之一。<br>**《直接公开（部分）》** | [0013] “Some example contextual types include location as measured by a sensor configured to receive location data. The location data may be correlated to GPS, Wi-Fi, indoor navigation, triangulation, and barometer reading, for example.”<br>[0023] “Additionally, a user's historical profile may be gleaned and used in addition to the contextual modes regarding their previous locations and usages associated with the electronic device 100.” | 对比文件明确公开了“位置数据（location data）”作为上下文或用户历史的一部分。位置数据是目标专利列举的用户数据类型之一。虽然对比文件没有明确提及“人口统计数据”和“交易数据”，但“用户数据”是一个宽泛的概念。根据目标专利说明书的解释，用户数据包括“收集到的关于最终用户的数据，例如：购买期间的交易量、用户花费数据、众包数据、人口统计数据...”。对比文件公开了“位置数据”，这满足了“至少之一”的条件。因此，就“用户数据包括位置数据”这一具体内容而言，对比文件已直接公开。 |
| **技术特征J**：其中，所述一个或多个传感器输入包括话音扫描、面部扫描或指纹扫描中的至少之一。<br>**《直接公开》** | [0012] “These authorization means 110 may include imaging recognition means 120 that can be configured to recognize facial features, including irises and eye veins. ... Other authorization means 110 may include voice recognition, fingerprint sensors, ...” | 对比文件明确将面部识别（成像识别手段，可配置为识别面部特征）、语音识别和指纹传感器列举为授权手段（即验证过程）。这些正是目标专利中提到的“话音扫描、面部扫描或指纹扫描”。因此，本领域技术人员能够毫无疑义地确定对比文件直接公开了该技术特征。 |
| **技术特征K**：其中，所述移动装置的当前背景情境包括与环境声、光或运动有关的背景信息。<br>**《直接公开》** | [0013] “Voice data may be sensed by a voice recognition sensor ... while the ambient environment may be determined from an imaging sensor. ... an ambient light sensor (ALS) for visible light ... An accelerometer or gyroscope may be used for gait detection ... The same sensors may be used for determining tremble detection of a user's hand.”<br>[0016] “... other contexts as well, such as time of day, ambient lighting conditions ...” | 对比文件明确提到了环境光条件（ambient lighting conditions）并使用环境光传感器（ALS）进行检测，这属于“与环境光有关的背景信息”。同时，对比文件提到使用加速度计或陀螺仪进行步态检测、手部颤抖检测，这涉及设备的运动状态，属于“与运动有关的背景信息”。虽然对比文件未明确将“环境声”作为独立的背景情境参数列出，但其提到了语音数据可由语音识别传感器感测，而环境声是语音数据采集时必然存在的背景。综合来看，对比文件已直接公开了背景情境包括“光”和“运动”信息，满足了“至少之一”的条件。 |
| **技术特征L**：其中验证过程是用户定义的。<br>**《未公开》** | 无对应内容。 | 对比文件全文描述了系统如何根据上下文、应用类型等自动调整安全级别和选择/调整验证传感器，但未提及用户能够自定义或定义验证过程（例如，用户选择登记哪些生物特征、设定偏好等）。所有调整和选择行为都是设备基于预设规则自动进行的。因此，该特征未被对比文件公开。 |
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