Wearable Exercise Guidance Using User and Device State
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Solution Overview
Problem
Aging populations face challenges with reduced muscular strength and joint problems, necessitating effective walking assist devices for elderly users or patients with reduced mobility.
Innovation Solution
An electronic device controls a wearable device to provide exercise suggestions based on user history and device state, activating welcome modes with visual and auditory cues to guide exercises, and adjusting assistance or resistance forces for improved mobility and exercise efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exercise suggestions are provided based on user history and device state, then exercise effectiveness is improved, but device complexity increases
Solution Approach 1:
The system segments the exercise guidance function into two parts: the wearable device collects user data and provides basic feedback, while the electronic device performs complex analysis of exercise history and generates personalized suggestions. This segmentation reduces the complexity burden on the wearable device while maintaining effective exercise guidance.
Solution Approach 2:
The electronic device acts as an intermediary that receives raw data from the wearable device, processes it through exercise history analysis, and returns refined exercise suggestions. This intermediary approach allows complex processing to occur externally while keeping the wearable device relatively simple.
2Ease of operation
If welcome mode with visual and auditory cues is activated, then ease of operation is improved, but use of energy increases
Solution Approach 1:
The welcome mode with visual and auditory cues is activated periodically or conditionally (e.g., at the beginning of exercise sessions or when specific milestones are reached) rather than continuously. This periodic activation provides necessary guidance while significantly reducing overall energy consumption compared to continuous operation.
3Reliability
If assistance or resistance forces are adjusted for different exercises, then exercise efficacy is improved, but device complexity increases
Solution Approach 1:
The assistance and resistance forces are made dynamic and adjustable based on the type of exercise being performed. The system automatically adapts force levels according to exercise intensity, user performance, and predefined exercise programs, allowing optimized exercise efficacy without requiring complex manual adjustment mechanisms.
Data Source
AI summary
A message output method performed by an electronic device includes: determining whether to provide an exercise suggestion for a user based on an exercise history of the user of the electronic device; based on determining to provide the exercise suggestion, determining a first state corresponding to a state of the user; based on determining to provide the exercise suggestion, determining a second state corresponding to a state of a wearable device connected to the electronic device; determining whether the user is capable of performing an exercise using the wearable device based on the first state and the second state; based on the user being capable of performing the exercise using the wearable device, generating a message about an exercise to be suggested to the user based on at least one of the exercise history, the first state, or the second state; and outputting the message.