Timelapse Memory Capture for Contextual AR/VR Re-Experiencing
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Solution Overview
Problem
Existing augmented and virtual reality technologies lack the ability to create immersive and contextual timelapse memory experiences that allow users to relive memories in a multisensory manner, failing to effectively capture and present data from various moments in time to recreate a contextual memory experience.
Innovation Solution
A networked computing environment that utilizes sensors to capture data from multiple sources, including biosignals, cameras, and IoT devices, creating a timelapse memory experience that can be relived through AR/VR systems, triggered by location, sound, or other contextual cues, and presented synchronously or asynchronously to multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing AR/VR technologies are used to present virtual content, then users can experience immersive visual content, but the system cannot capture and present multisensory data from various moments in time to create contextual memory experiences
Solution Approach 1:
The system segments the memory experience capture into multiple independent sensor components (cameras for visual data, microphones for audio, biosensors for physiological data, location services for spatial context). Each sensor captures a specific dimension of the memory experience, and these segmented data streams are later synchronized and integrated to create the complete multisensory memory reconstruction.
Solution Approach 2:
The computing device serves multiple functions: it acts as a camera, microphone, biosensor, location tracker, data processor, and AR/VR display system all in one platform. This multi-functional approach enables the device to capture diverse sensor data types and present them as immersive memory experiences without requiring separate specialized systems for each function.
2Measurement precision
If timelapse memory experiences are created using multiple sensors, then contextual accuracy of memory reliving is improved, but data processing and synchronization requirements increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing raw sensor data in a standardized format during the memory event, then later processes and synchronizes this pre-captured data when the user wants to relive the memory. This separates the capture phase from the processing phase, allowing high-precision multsensor data collection without immediate processing complexity.
Solution Approach 2:
The system uses feedback mechanisms to synchronize multiple sensor streams by referencing a common timebase and triggering events. Sensors continuously monitor and report their data, and the system adjusts timing and synchronization based on real-time feedback from each sensor's clock and trigger signals, ensuring precise alignment of multisensory data.
3Adaptability or versatility
If AR/VR systems present memory experiences synchronously to multiple users, then social interaction is enhanced, but system resource requirements and latency increase
Solution Approach 1:
The system implements partial action by providing asynchronous memory experience delivery as a default option, where users can view memories at their own pace without requiring simultaneous presence. Synchronous experiences are only activated when explicitly requested, using resources only when needed rather than continuously maintaining synchronous readiness for all users.
Solution Approach 2:
The system discards real-time processing requirements for asynchronous memory deliveries, processing and preparing memory data in advance then serving it on demand. This allows the system to recover computational resources after serving a user, rather than continuously maintaining high-resource synchronous processing states.
Data Source
AI summary
A system captures via one or more sensors of a computing device, data of an environment observed by the one or more sensors at a first timeslot, and stores the data in a data store as a first portion of a timelapse memory experience. The system also captures, via the one or more sensors of a computing device, data of the environment observed by the one or more sensors at a second timeslot, and stores the data in a data store as a second portion of the timelapse memory experience. The system additionally associates the timelapse memory experience with a memory experience trigger, wherein the memory experience trigger can initiate a presentation of the timelapse memory experience.