Head-Mounted Assistant Activation Using IMU Don-Doff Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing assistant systems on head-mounted devices suffer from false activations due to touch inputs, leading to unnecessary power consumption and reduced battery life, without requiring additional memory footprint or power consumption.
Innovation Solution
Utilizing inertial measurement unit (IMU) signals for don/doff detection on head-mounted devices, employing finite state machines to determine transitions between donning, doffing, and normal states, thereby preventing false activations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If touch input is used for assistant activation, then ease of operation is improved, but false activations occur leading to increased power consumption
Solution Approach 1:
The patent introduces an intermediary verification mechanism that cross-references touch input with IMU sensor data to determine whether activation is intentional. The IMU sensors detect head movements and device handling patterns that accompany genuine user intent, serving as a mediator to filter out false activations from accidental touches.
Solution Approach 2:
The system implements feedback by continuously monitoring IMU sensor data and comparing it with touch input patterns. This feedback loop allows the system to distinguish between intentional activation (where touch and head movement patterns align) and accidental activation (where patterns do not align), thereby preventing false positives and reducing unnecessary power consumption.
2Ease of operation
If touch input is used for assistant activation, then ease of operation is improved, but activation accuracy deteriorates due to false activations
Solution Approach 1:
The patent introduces an intermediary verification mechanism that cross-references touch input with IMU sensor data to determine whether activation is intentional. The IMU sensors detect head movements and device handling patterns that accompany genuine user intent, serving as a mediator to filter out false activations from accidental touches.
Solution Approach 2:
The system implements feedback by continuously monitoring IMU sensor data and comparing it with touch input patterns. This feedback loop allows the system to distinguish between intentional activation (where touch and head movement patterns align) and accidental activation (where patterns do not align), thereby preventing false positives and reducing unnecessary power consumption.
3Measurement precision
If IMU signals are processed for don/doff detection, then activation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the IMU sensors for multiple purposes: both for don/doff detection (determining whether the device is being worn) and for activation verification (distinguishing intentional from accidental touches). This universal use of existing sensors avoids adding dedicated hardware while improving activation accuracy.
Solution Approach 2:
The system uses its own existing IMU sensors to verify activation intent, making the system self-sufficient. Rather than requiring external verification hardware, the device leverages its built-in motion sensing capabilities to autonomously distinguish between genuine user intent and accidental activation.
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
Improves user experience by ensuring accurate activation only when intended, and enhances battery life by reducing false activations on head-mounted devices.
Implementation Method 1
access one or more signals from one or more inertial measurement unit (IMU) sensors of the head-mounted device
Data Source
AI summary
In one embodiment, a method includes receiving touch inputs from a user corresponding to an activation trigger for an assistant system executing on a head-mounted device at the head-mounted device, accessing signals from inertial measurement unit (IMU) sensors of the head-mounted device by the head-mounted device, determining that the user is either donning or doffing the head-mounted device by an on-device don/doff detection model and based only on the signals from the IMU sensors, and overriding the activation trigger to prevent an activation of the assistant system responsive to the received touch inputs.


