Systems and methods for modular headset system
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Solution Overview
Problem
Existing headset systems for collecting physiological data face challenges due to the need for precise initial registration of devices with respect to a subject's head, which can be prone to human error and requires skilled technicians, limiting their widespread deployment.
Innovation Solution
A modular headset system that includes a transducer for collecting physiological data, a device housing, an insert portion for attaching the device housing to a support structure, and an actuator to lock the insert portion in place, allowing for easy assembly and disassembly without tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual registration of the device is performed by a technician, then the device can be aligned with the subject's head, but human errors may be introduced and highly skilled technicians are required
Solution Approach 1:
The system performs automatic registration using image capture devices and processing algorithms, eliminating the need for manual technician intervention. The device autonomously identifies anatomical landmarks and calculates transformation parameters, making the system self-sufficient in the registration process.
Solution Approach 2:
The patent replaces manual mechanical alignment procedures with an automated image-based registration system. Instead of relying on technicians to physically position and align the device, the system uses captured images and computational algorithms to achieve precise registration automatically.
2Measurement precision
If a highly skilled technician is needed for proper device registration, then registration accuracy can be maintained, but deployment efficiency is impeded
Solution Approach 1:
The system performs automatic registration using image capture devices and processing algorithms, eliminating the need for manual technician intervention. The device autonomously identifies anatomical landmarks and calculates transformation parameters, making the system self-sufficient in the registration process.
Solution Approach 2:
The system performs preliminary actions by capturing images and pre-processing data before the actual registration is needed. Anatomical landmarks are identified and transformation parameters are calculated in advance, so that when deployment is required, the system can quickly execute the pre-computed registration without requiring skilled technician intervention.
3Stability of the object's composition
If the device housing is permanently attached to the support structure, then structural stability is maintained, but adaptability and ease of assembly are reduced
Solution Approach 1:
The device housing is divided into separate modules that can be independently attached or detached from the support structure. This segmentation allows the system to maintain stability when assembled while providing flexibility for easy assembly, disassembly, and reconfiguration of different components.
Solution Approach 2:
The attachment mechanism transitions from a static permanent connection to a dynamic removable connection. The device housing can be attached to provide structural stability during operation, and detached when reconfiguration or maintenance is needed, providing adaptability through dynamic state changes.
Data Source
AI summary
Arrangements described herein relate to systems, apparatuses, and methods for a headset system that includes a transducer configured to collect physiological data of a subject, a device housing configured to support the transducer, an insert portion disposed on the device housing, a support structure comprising a baseplate and a receiving portion, and a head cradle supported by the baseplate. The receiving portion extends in a direction that is oblique with respect to the baseplate. The insert portion is sized and shaped to engage the receiving portion to removably attach the device housing to the baseplate.