Ending Communications Sessions via Presence Data
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Solution Overview
Problem
Existing communication systems lack the ability to automatically end sessions when the presence of individuals is not detected, leading to potential unauthorized access and unawareness of live feeds in households.
Innovation Solution
Implementing speech activity detection techniques to monitor audio data for speech or non-speech, using presence data to determine if individuals are present and ending communications sessions if no presence is detected, ensuring that communications sessions are only maintained when individuals are actively participating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication sessions are maintained continuously without presence monitoring, then communication availability is improved, but unauthorized access and privacy risks worsen
Solution Approach 1:
The system continuously monitors presence data from devices and provides feedback to the communication system. When presence data indicates that no individual is present at a recipient device, the system automatically ends the communication session. This feedback mechanism ensures communication availability when individuals are present while preventing unauthorized access when devices are unattended.
Solution Approach 2:
The communication system automatically monitors its own operational status by checking presence data from recipient devices. When absence of presence data is detected, the system self-corrects by ending the communication session without requiring external intervention. This self-service approach dynamically adjusts session status based on real-time presence information.
2Object-affected harmful factors
If presence monitoring is implemented to prevent unauthorized access, then privacy security is improved, but system complexity worsens
Solution Approach 1:
The system uses presence data as an intermediary indicator to infer individual presence without directly monitoring individuals. Rather than implementing complex surveillance mechanisms, the system leverages existing device presence data (such as device activity status, location information, or sensor data) to determine whether an individual is present, thereby maintaining privacy security with minimal added complexity.
Solution Approach 2:
The patent replaces manual monitoring and mechanical presence verification with automated electronic detection of presence data. Instead of requiring manual checks or complex mechanical sensors, the system uses software-based detection of device presence indicators, significantly reducing system complexity while maintaining effective privacy security.
3Object-affected harmful factors
If speech activity detection is used to monitor communications, then unauthorized access detection is improved, but energy consumption worsens
Solution Approach 1:
The system performs speech activity detection selectively rather than continuously monitoring all communications. Presence monitoring and speech detection are activated only when a communication session is established and presence data indicates an individual should be present. This partial action approach detects unauthorized access effectively while minimizing energy consumption by avoiding continuous monitoring during sessions where presence is confirmed.
Data Source
AI summary
Methods and devices for causing a communications session between a first device and a second device to end based on lack of speech activity are described herein. In some embodiments, non-speech may be detected for both the first device and the second device. If the non-speech associated with the first device is determined to occur at a substantially same time as the non-speech associated with the second device, then this may indicate that no individuals are talking within earshot of their respective devices. Furthermore, the non-speech detected by the first device and the non-speech detected by the second device may both be of an amount of time that is greater than a predefined temporal threshold. If so, then the communications session may be caused to end because speech activity has not been detected by either device for more than the predefined temporal threshold.