Motion-Based Profile Switching for Multi-User Devices
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Solution Overview
Problem
Existing multi-user devices require manual input of profile information for switching between user profiles, which is time-consuming and inefficient, especially for battery-operated devices where it increases power usage.
Innovation Solution
A method and system that utilize the motion of an accessory device, such as a remote control, and a user device, like a watch, to configure a multi-user device based on user profiles, allowing users to switch profiles through specific motion gestures, thereby eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input of profile information is used for switching user profiles, then profile switching can be performed, but user interaction time increases and power consumption increases
Solution Approach 1:
The patent replaces manual typing/input operations with motion-based gestures detected by accelerometers in the accessory device and user device. Instead of mechanically pressing keys or typing, users perform gestures (e.g., circular motions, tapping sequences) that are captured by motion sensors and translated into profile switching commands, significantly reducing interaction time and effort
Solution Approach 2:
The system automatically detects user presence and intent through motion patterns without requiring explicit manual input. The accessory device and user device autonomously communicate motion data to the multi-user device, which automatically identifies the desired profile and switches configurations, eliminating the need for users to manually enter profile information
2Ease of operation
If manual input of profile information is used for switching user profiles, then profile switching can be performed, but power consumption increases for battery-operated devices
Solution Approach 1:
The patent replaces energy-intensive manual input operations (typing, navigating menus) with low-energy motion gestures detected by accelerometers. The motion detection and gesture recognition system consumes far less power than traditional input methods, enabling profile switching on battery-operated devices without significantly impacting battery life
Solution Approach 2:
The system automatically processes motion data and performs profile switching without requiring users to power through lengthy input sequences. The automated gesture recognition and profile identification minimize the time input devices remain active, reducing overall power consumption while maintaining full profile switching functionality
3Ease of operation
If motion detection is implemented in accessory device and user device, then profile switching is simplified, but device complexity increases
Solution Approach 1:
The patent leverages the existing multi-functionality of modern devices by using accelerometers already present in smartphones and wearable devices for a new purpose (gesture-based profile switching). The accessory device, typically a remote control, gains additional functionality by incorporating motion detection capabilities, allowing it to serve both traditional remote functions and gesture recognition without requiring completely separate hardware
Solution Approach 2:
The patent introduces a communication interface as an intermediary layer that handles the complexity of data exchange between the accessory device, user device, and multi-user device. This standardized communication protocol manages the coordination of motion data, gesture recognition, and profile switching commands, isolating the complexity from the user experience while enabling sophisticated multi-device collaboration
4Productivity
If motion gestures are used for profile switching, then manual input is eliminated, but motion detection and correlation between devices is required
Solution Approach 1:
The patent employs a communication interface as an intermediary that standardizes the exchange of motion data between devices. This interface handles the complex tasks of synchronizing motion detection, correlating gestures across multiple devices, and translating physical movements into digital commands, thereby enabling fast profile switching while managing technical complexity through abstraction
Solution Approach 2:
The system implements feedback mechanisms where the multi-user device receives motion data from both the accessory device and user device, correlates the gestures, and provides confirmation of profile switching. This feedback loop ensures accurate gesture recognition and profile identification, allowing the system to handle motion correlation complexity automatically while maintaining high switching speeds
Data Source
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AI summary
In some embodiments, an electronic device obtains first motion information describing motion of an accessory of a multi-user device that is in communication with a display, and obtains second motion information describing motion of a user device that is associated with a first profile, wherein the motions of the accessory and the user device are detected during the first time period. In response to obtaining the first motion information of the accessory and/or the second motion information of the user device, in accordance with a determination that the motion of the accessory and the motion of the user device satisfy profile-switching criteria, including a criterion that is satisfied when the motion of the accessory and the motion of the user device have corresponding movement profiles during the first time period, the electronic device optionally initiates a process for configuring the multi-user device based on the first profile.