VR Glove Sensor Selection for Hand Motion Capture
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Solution Overview
Problem
Existing motion capture gloves face challenges in optimizing sensor placement for varied hand sizes and dimensions, leading to suboptimal performance and increased power consumption.
Innovation Solution
A glove interface object with multiple redundant sensors that selects optimally positioned sensors based on user hand poses, activating only the sensors that exhibit the greatest degree of flexion at predefined locations such as joints, to enhance measurement accuracy and reduce power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are placed at predefined locations along the digits to capture hand motion, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The system dynamically selects and activates only the sensors that are currently needed based on the user's hand pose and motion characteristics. This transforms the static sensor configuration into a dynamic one, where the active sensor subset changes over time to match the actual measurement requirements, thereby reducing complexity and power consumption while maintaining precision.
Solution Approach 2:
Instead of continuously activating all sensors (excessive action), the system activates only the necessary subset of sensors for each measurement cycle (partial action). This is achieved by evaluating hand pose and motion data to determine which sensors will provide the most useful information, avoiding the waste of activating unnecessary sensors.
2Measurement precision
If all sensors are activated continuously to ensure accurate motion capture, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system employs periodic sampling rather than continuous monitoring. Sensors are activated in periodic cycles where the system evaluates hand pose and motion characteristics, then activates only the necessary sensors for that specific sampling instant. This periodic action with selective activation reduces average power consumption while maintaining measurement precision through consistent sampling at critical moments.
Solution Approach 2:
The system changes the operational parameters of the sensor system by adjusting which sensors are active based on hand pose and motion data. This parameter change approach allows the system to adapt the sensor configuration to the current task requirements, activating only the necessary sensors and thereby reducing overall power consumption while maintaining accuracy.
3Ease of manufacture
If sensors are positioned to work with average hand dimensions, then device manufacturing is simplified, but adaptability to varied hand sizes decreases
Solution Approach 1:
The system dynamically adapts to different hand sizes by using hand pose estimation and motion characteristics to determine which sensors are most useful for each user. This dynamic adaptation allows a single glove design with fixed sensor positions to effectively serve users with varied hand dimensions, maintaining ease of manufacture while improving adaptability.
Solution Approach 2:
The glove with its fixed sensor configuration serves multiple users with different hand sizes through the intelligent selection system. The same physical glove structure becomes multi-functional by adapting its active sensor configuration to match different user characteristics, achieving universality without compromising manufacturing simplicity.
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
This approach allows for accurate hand motion capture across a wide range of hand sizes with a single glove design, minimizing power consumption and maximizing sampling rate, thereby providing a more immersive and efficient interactive experience in virtual reality applications.
Implementation Method 1
each sensor configured to identify a degree of flexion and being associated with one of a plurality of predefined locations along the plurality of digits
Data Source
AI summary
A glove for interfacing with a virtual reality scene presented via a head-mounted display (HMD) is provided. The glove includes a plurality of digits associated with the glove, each digit configured to receive a finger of a user of the glove; and, a plurality of sensors, each configured to identify a degree of flexion and being associated with one of a plurality of predefined locations along the plurality of digits, wherein one of the plurality of sensors at each of the predefined locations is selected as an optimal sensor for the respective predefined location.