Patent No. US10729336 (titled "Smart watch") on Jun 16, 2017. The application was issued on Aug 4, 2020.
’336 is related to the field of wearable health monitoring systems and mobile telecommunications. It specifically addresses the integration of wrist-worn devices with cellular networks and remote servers to provide continuous physiological tracking and interactive user interfaces. The background context involves the need for unobtrusive, real-time medical oversight that can detect emergencies, such as falls or cardiac events, while maintaining a functional communication link between the patient and caregivers.
The underlying idea behind ’336 is the creation of a distributed processing architecture for a multimodal wearable monitor that balances local sensing with remote computational power. By utilizing a wrist-watch form factor equipped with sensors on the back of the housing, the invention ensures constant contact with the skin for high-fidelity vital sign acquisition. The key inventive insight lies in off-loading speech processing from the power-constrained wearable device to a more capable cellular transceiver or remote server, allowing for sophisticated voice command recognition without exhausting the wearable’s battery.
The claims of ’336 focus on a wearable appliance, specifically a wrist-watch, that integrates an accelerometer for movement detection with heart monitoring sensors positioned on the rear of the housing. The independent claims specify a system architecture where the wearable is wirelessly linked to a telephone or a remote server. A critical limitation across the claims is the requirement for the cellular transceiver or an external telephone to perform at least a portion of the computational heavy lifting for speech processing, enabling the watch to execute voice commands efficiently.
In practice, the system functions by using the accelerometer to establish a baseline of physical activity, which provides context for the heart rate and blood-oxygen data collected by the rear-mounted sensors. When the device detects a potential emergency, such as a fall or an irregular pulse, it can initiate a voice-based interaction with the user. The wearable captures the audio, but the distributed processing model sends that data to a remote processor to interpret the intent, allowing the user to confirm their status or request help through natural language.
This approach differs from prior solutions by moving away from isolated, low-intelligence monitors that rely solely on local alerts. By incorporating a positioning system and a multi-protocol transceiver (Cellular, WiFi, and Bluetooth), the invention ensures that the health data is not just recorded, but is actionable across a wide area network. The specific placement of sensors on the back of a watch housing combined with the off-loading of complex tasks like voice recognition represents a significant shift toward interoperable, high-utility medical wearables.
In the mid-2000s when ’336 was filed, remote health monitoring was typically implemented using standalone medical appliances that operated in isolation or required manual data entry into centralized databases. At a time when systems commonly relied on specialized, wired diagnostic equipment for clinical-grade vital sign capture, the integration of multi-modal physiological sensors into consumer-scale wearable form factors was limited by significant power and processing constraints. Furthermore, data interoperability between different manufacturers was non-trivial, as software architectures frequently utilized proprietary protocols rather than standardized, cross-platform communication frameworks for real-time health analysis.
The disclosed invention represents a meaningful technical advancement through the architectural integration of a multi-sensor wearable device with a wireless personal area network (PAN) and a mobile processing hub capable of real-time mood and vital sign analysis. It achieves a significant technical effect by normalizing disparate data streams from multiple manufacturers into a common interoperable format, overcoming the constraint of data silos in healthcare monitoring. The system enables a proactive diagnostic capability by correlating movement data from accelerometers with physiological signals to detect acute events, such as falls or strokes, and automatically triggering context-aware responses—including speech command execution and remote emergency notifications—thereby shifting the monitoring paradigm from passive data collection to active, automated intervention.
This patent contains 23 claims, with claims 1, 12, and 18 serving as the independent claims. These independent claims focus on a wearable wrist-watch system and device equipped with heart monitoring sensors, an accelerometer, and a cellular transceiver, specifically highlighting the ability to off-load speech processing tasks to a remote or secondary processor. The dependent claims generally serve to expand on the types of physiological and activity data collected, such as ECG, blood pressure, and fall detection, while also detailing communication protocols for health records, fitness program selection, and the monitoring of daily habits.
Definitions of key terms used in the patent claims.
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