Patent No. US10783228 (titled "Information processing device, application software start-up system, and application software start-up method") on Aug 8, 2019. The application was issued on Sep 22, 2020.
’228 is related to the field of biometric authentication and access control for portable information processing devices. Specifically, it addresses the security vulnerabilities of traditional static biometrics, such as fingerprints, which can be bypassed if a user is coerced or unconscious. The invention seeks to enhance security by incorporating real-time physiological monitoring to ensure that device access and application usage align with the user’s actual physical and mental state.
The underlying idea behind ’228 is the implementation of a multi-layered permission system that distinguishes between identity verification and state verification. While static biometrics confirm who the user is, dynamic biometric data—such as heart rate, blood pressure, and body temperature—are used to determine the user's current condition, such as being asleep, stressed, or in a normal state. By mapping these states to specific application permission levels, the system can automatically restrict sensitive functions, like financial transactions, if the user is under duress or otherwise compromised.
The claims of ’228 focus on a distributed architecture involving two separate devices that coordinate to maintain a secure operating environment. A first device, typically a wearable, is responsible for the continuous acquisition of dynamic biometric information and remains in an unlocked state only as long as it can successfully maintain contact with the user’s body. A second device performs the initial identity authentication using static sensors and subsequently receives the dynamic data from the first device to control the display of information and application availability based on the determined user state.
In practice, the system functions by first unlocking basic features via a fingerprint or iris scan, then progressively enabling more sensitive applications as the wearable sensor confirms a stable, normal physiological state. If the sensors detect a stress state—indicated by elevated heart rate or blood pressure—the system may trigger a caution screen or block high-risk apps entirely. Conversely, if the dynamic data suggests the user is in a sleep state, the system can immediately re-lock the devices to prevent unauthorized access by third parties while the owner is incapacitated.
This approach differentiates itself from prior art by moving beyond binary 'lock/unlock' mechanisms and instead employing a state-dependent access model. Unlike systems that simply check for a pulse to verify a 'live' user, this invention uses a baseline of learned physiological data to detect subtle changes in intent or environment. By requiring a continuous stream of dynamic data to maintain the unlocked state, the invention effectively prevents 'relay' attacks or unauthorized use that occurs after an initial successful authentication.
In the late 2010s when ’228 was filed, user authentication in mobile and handheld computing environments was typically implemented using static biometric identifiers, such as fingerprint or facial recognition, to grant binary access to a device's entire software suite. At a time when systems commonly relied on a single successful authentication event to unlock all local resources, the enforcement of security policies was generally decoupled from the user's physiological or psychological condition. Hardware and software constraints made the real-time differentiation of application access based on fluctuating biological signals non-trivial, as most architectures were designed to verify identity rather than intent or situational distress.
The disclosed invention achieves a technical advancement by integrating dynamic biometric monitoring directly into the application launch sequence to create a state-aware access control layer. Rather than relying solely on static identity verification, the system utilizes an architectural shift where dynamic biometric data is compared against pre-measured baselines to determine a user's current state. This enables the technical capability of granularly limiting software execution based on predefined permission levels mapped to specific physiological states. This approach overcomes the constraint of static security models by ensuring that sensitive applications remain restricted if the user's dynamic biometric profile indicates a state of duress or lack of intent, even if the primary identity authentication is successful.
This patent contains 22 claims, with claims 1 and 12 serving as the independent claims. The independent claims focus on a system and method for multi-device authentication and monitoring, specifically utilizing a first device to acquire dynamic biometric data and a second device to perform static biometric authentication, where the first device maintains an unlocked state based on the continuous acquisition of dynamic biometrics and the second device displays user state information. The dependent claims further define the technical implementation by specifying wireless communication protocols like Bluetooth and Wi-Fi Direct, identifying specific types of dynamic and static biometric data, designating the hardware as wearable devices or smartphones, and detailing automated safety features such as position transmission and operation limiting based on the user's physiological state.
Definitions of key terms used in the patent claims.
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