Apple inc. (20240094000). PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT simplified abstract
Contents
- 1 PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT
Organization Name
Inventor(s)
Ryan K. Burns of Santa Clara CA (US)
Xiaoyuan Tu of Sunnyvale CA (US)
PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240094000 titled 'PEDESTRIAN DEAD RECKONING USING DIFFERENTIAL GEOMETRIC PROPERTIES OF HUMAN GAIT
Simplified Explanation
The method described in the patent application involves analyzing acceleration data from a motion sensor in a mobile device to determine the user's direction of travel and speed based on the user's movement patterns.
- Analyzing acceleration data from a motion sensor in a mobile device
- Determining the user's direction of travel and speed based on movement patterns
- Using a tangent-normal-binormal (TNB) reference frame to describe geometric and kinematic properties of the user's movement
- Computing the direction of travel based on the orientation of a unit binormal vector
- Computing the speed of the user using a linear regression model applied to the kinematic properties of the TNB reference frame
Potential Applications
This technology could be applied in various fields such as:
- Fitness tracking apps
- Navigation systems
- Virtual reality and augmented reality games
Problems Solved
This technology helps in:
- Accurately tracking user movement
- Providing real-time feedback on speed and direction
- Enhancing user experience in motion-based applications
Benefits
The benefits of this technology include:
- Improved accuracy in tracking user movement
- Enhanced user experience in motion-based applications
- Potential for new and innovative applications in various industries
Potential Commercial Applications
The potential commercial applications of this technology include:
- Sports and fitness tracking devices
- Navigation and mapping software
- Virtual reality and augmented reality gaming platforms
Possible Prior Art
One possible prior art for this technology could be existing motion tracking systems used in virtual reality gaming or fitness tracking devices.
Unanswered Questions
How does this technology handle variations in user movement patterns?
The article does not specify how the technology adapts to different types of user movements or if it is customizable based on individual preferences or activities.
What are the limitations of this technology in terms of accuracy and reliability?
The article does not address any potential limitations of the technology, such as environmental factors that may affect the accuracy of the data collected or the reliability of the speed and direction calculations.
Original Abstract Submitted
in some embodiments, a method comprises: receiving acceleration data from a motion sensor of a mobile device carried by a user, the acceleration data represented by a space curve in a three-dimensional (3d) acceleration space, the space curve indicative of a cyclical vertical displacement of the user's center of mass accompanied by a lateral left and right sway of the center of mass when the user is stepping; computing a tangent-normal-binormal (tnb) reference frame from the acceleration data, the tnb reference frame describing instantaneous geometric and kinematic properties of the space curve over time; and computing a direction of travel of the user based on an orientation of a unit binormal (b) vector of the tnb reference frame in the 3d acceleration space, and computing a speed of the user based on a linear regression model applied to the kinematic properties of the tnb reference frame.
