Immersive Physiological Tracking With Closed-Loop Exercise Control
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Solution Overview
Problem
Existing remote exercise systems fail to immerse users in the same physiological experience as the trainer, as individuals' stress levels vary due to factors like age, weight, and prior training, despite synchronized workouts.
Innovation Solution
A system that tracks both the physical and mental states of a remote operator, using sensors to monitor parameters which are then used by an immersion controller to adjust a local user's exercise device to mirror the operator's experience, incorporating closed-loop control algorithms to synchronize physical and mental states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If remote trainers manually adjust exercise equipment parameters to synchronize workouts, then users can participate in remote workouts with trainers, but users do not experience the same physiological stress as the trainer due to individual differences in age, weight, and training level
Solution Approach 1:
The system creates a digital copy of the trainer's physiological state data (heart rate, power output, speed) and transmits it to the user's device. This copy allows the user's equipment to mirror the trainer's experience parameters, enabling synchronized workouts while accounting for individual physiological differences through automated adjustment based on the copied data.
Solution Approach 2:
The system implements continuous feedback loops where the trainer's physiological sensors continuously monitor their state and automatically adjust the user's equipment parameters in real-time. This closed-loop feedback ensures the user experiences parameters that dynamically track the trainer's actual physiological state throughout the workout.
2Ease of operation
If trainers monitor and adjust user equipment parameters remotely, then users receive customized workout regimens, but the system does not immerse users in the trainer's physiological experience
Solution Approach 1:
The system introduces physiological state data as an intermediary element between the trainer and user. Instead of direct manual control, the trainer's physiological parameters serve as the mediating information that automatically drives adjustments to the user's equipment, creating an immersive experience without requiring direct trainer intervention.
Solution Approach 2:
The system replaces the manual mechanical adjustment process with automated electronic control. Sensors continuously monitor the trainer's physiological state and automatically adjust equipment parameters through electronic communication, eliminating the loss of physiological information that occurs with manual monitoring and adjustment.
3Stability of the object's composition
If all users exercise on equipment set to the same speed and incline as the trainer, then workouts are synchronized, but the stress on each person's body differs due to individual physical conditions
Solution Approach 1:
The system transitions from static, pre-set workout parameters to dynamic, real-time parameter adjustment. Equipment settings continuously adapt during the workout based on the trainer's current physiological state, allowing consistent synchronization while automatically adjusting for individual user differences in age, weight, and fitness level.
Solution Approach 2:
The system automatically modifies equipment parameters (speed, incline, resistance) in real-time based on the trainer's physiological data. This continuous parameter adjustment maintains workout synchronization while adapting the intensity and characteristics to match the trainer's actual experience, compensating for individual user differences.
Data Source
AI summary
Disclosed are sensors that measure various both biological conditions and mental conditions of the trainer and on the user and adds an immersion controller into the user's system that essentially uses the exercise devices as actuators that are adjusted in order to keep both the user's physiological state and mental state tracking the trainer's physiological state and mental state.


