Emotional Map-Based Workout Route Generation
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Solution Overview
Problem
Automated coaching systems for workouts, such as those for runners and cyclists, often rely on athletes to choose suitable routes, which can be inefficient and fail to adapt to the athlete's emotional state or mood, leading to suboptimal workout experiences.
Innovation Solution
An automated coaching system that generates workout routes based on user emotional states, using emotional maps and dialog systems to suggest routes that align with the user's preferences and moods, incorporating sensor data and user feedback to dynamically update routes during workouts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automated coaching systems rely on athletes to choose routes independently, then the system complexity is reduced, but the workout personalization and adaptability to emotional states deteriorate
Solution Approach 1:
The system enables self-service by automatically detecting athlete emotional states through sensor data and autonomously selecting appropriate routes from emotional maps, eliminating the need for manual route selection by the athlete while maintaining high personalization
Solution Approach 2:
The system implements feedback loops where sensor data from the athlete's emotional state is continuously monitored, and this feedback is used to dynamically adjust and select routes that match the detected emotional state, achieving adaptability without increasing apparent system complexity
2Adaptability or versatility
If the system dynamically updates routes based on emotional states, then workout adaptability improves, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary action by pre-classifying routes into emotional maps categorized by emotional states (e.g., stressful, relaxing, boring) before workouts begin, allowing for rapid route selection during exercise without real-time complex processing
Solution Approach 2:
The system implements dynamics by enabling real-time switching between pre-classified routes based on detected emotional state changes, allowing the workout to adapt dynamically without requiring complex real-time route generation or processing
3Ease of operation
If the system uses sensor data and emotional maps to generate personalized routes, then workout experience quality improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The system uses emotional maps as an intermediary layer between sensor data and route selection, where pre-classified emotional maps serve as a lookup table that simplifies the matching process between detected emotional states and appropriate routes, reducing real-time processing complexity
Data Source
AI summary
Systems, apparatuses and methods may provide for technology to improve a workout experience of a user by determining an emotional state of the user, identifying a workout route based on the emotional state of the user, and outputting the workout route via a user interface device. Additionally, determining the emotional state of the user may include inferring emotions from one or more sensor information or user speech information. In one example, the sensor information includes one or more of blood pressure signals, heart rate signals or sweat measurement signals and the user speech information includes one or more of words used in an input utterance or a prosody of the input utterance.