Space Mapping via Portable Device Dwell Detection
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Solution Overview
Problem
Current methods for mapping and understanding space usage in homes lack efficiency and accuracy, failing to provide comprehensive data on object identification and area utilization, which limits personalized recommendations for improvement.
Innovation Solution
A system utilizing portable user devices to collect location data through triangulation and sensors, aggregating data to determine dwell locations and identify objects within a space, combining with video analysis and 3D scans to provide detailed space mapping and recommendations for ecological and economic efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current mapping methods are used, then basic space coverage is achieved, but accuracy and comprehensiveness of object identification and area utilization data are insufficient
Solution Approach 1:
The patent combines multiple data collection methods (triangulation, sensors, video analysis, 3D scanning) into a unified mapping system. The portable device integrates GPS receiver, accelerometer, gyroscope, and camera to simultaneously collect location, motion, and visual data, resolving the contradiction by merging multiple functions into a single comprehensive system rather than using separate systems for each measurement type.
Solution Approach 2:
The portable device serves multiple functions: it acts as a GPS receiver for location tracking, an accelerometer for motion detection, a gyroscope for orientation measurement, and a camera for visual documentation. This multi-functional device replaces multiple specialized devices, achieving high measurement precision without proportionally increasing system complexity.
2Loss of information
If comprehensive data collection is implemented, then detailed space mapping is achieved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data collection and aggregation during normal device usage in the space. Location data, sensor readings, and video footage are continuously captured and stored in advance, so that when mapping analysis is needed, the data is already prepared and organized, reducing the actual processing time while maintaining data completeness.
Solution Approach 2:
The portable device automatically collects, stores, and pre-processes its own data without requiring external intervention. The device self-manages the aggregation of location, motion, and visual data, and the system automatically identifies dwell locations and objects from the collected data, minimizing manual processing time and computational overhead.
3Adaptability or versatility
If traditional mapping approaches are used, then simple area coverage is provided, but personalized recommendations for ecological and economic efficiency cannot be generated
Solution Approach 1:
The system analyzes collected location and usage data to identify patterns of space utilization, then provides feedback in the form of personalized recommendations for improving ecological and economic efficiency. The system monitors actual usage patterns and compares them against optimal configurations, continuously refining recommendations based on observed behavior and outcomes.
Solution Approach 2:
The system varies and analyzes multiple parameters including location coordinates, timestamps, dwell times, traffic volumes, and object usage frequencies to generate comprehensive space utilization profiles. By changing and analyzing these parameters, the system adapts to different user behaviors and provides customized recommendations that directly improve productivity and efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise mapping of space usage, identifying potential issues and recommending products or services to enhance user experience by analyzing traffic volumes and object usage patterns, improving both ecological and economic efficiency.
Implementation Method 1
A system utilizing portable user devices to collect location data through triangulation and sensors
Data Source
AI summary
In some embodiments, apparatuses and methods are provided herein useful to mapping a space. In some embodiments, a system for mapping a space comprises a communication device configured to receive location data from a portable user device in a user space, a device location database configured to store location data, and a control circuit. The control circuit being configured to aggregate, over time, the location data in the user space from the portable user device and store the location data in the device location database, the location data comprising coordinates and timestamps associated with a plurality of locations, determine a plurality of dwell locations in the user space corresponding to locations where the portable user device rests based on the timestamps of the location data, and identify one or more objects in the user space based at least on the coordinates of the plurality of dwell locations.