Electronic Device Exercise Content Recommendation via Image Recognition
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Solution Overview
Problem
Users face difficulty in selecting appropriate exercise content from a vast array of options on television, as they lack recommendations tailored to their specific body parts and camera settings, leading to inefficient workout experiences.
Innovation Solution
An electronic device that captures images of users, identifies object information such as body parts and posture, and transmits this data along with camera information to a server, which then recommends a list of exercise content matching the user's conditions, allowing for personalized content selection and comparison with real-time video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually browse through a large number of exercise content options on television, then they can find content they want, but it takes a lot of time and effort
Solution Approach 1:
The system automatically captures images of users, identifies body parts and postures, and recommends exercise content without requiring manual user input. The television device performs self-service by autonomously completing the content selection process based on image recognition results.
Solution Approach 2:
The system pre-processes exercise content by tagging it with body part and posture information during content creation or storage. This preliminary organization allows for rapid retrieval and recommendation when a user's image is analyzed, eliminating the need for manual browsing.
2Adaptability or versatility
If the system analyzes user images and camera information to generate personalized recommendations, then content relevance is improved, but system complexity increases
Solution Approach 1:
The system introduces an image recognition server as an intermediary that handles the complex task of analyzing user images and camera information. The television device itself remains relatively simple, delegating the sophisticated image processing and recommendation generation to an external server.
Solution Approach 2:
The image recognition server provides universal functionality by handling various types of image analysis, body part identification, posture recognition, and content recommendation across different users and exercise types, reducing the need for device-specific complex processing.
Data Source
AI summary
Provided is an electronic device and an operating method of an electronic device. The operating method of the electronic device includes obtaining object identification information of an object based on an image obtained from a camera, obtaining camera information indicating a capturing range of the camera, obtaining search information based on at least one of the object identification information and the camera information, transmitting the search information to a server, receiving a content list from the server, wherein the content list is searched based on the search information, and outputting the content list.