Actor Identification Using Wearable Movement Matching
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Solution Overview
Problem
Existing systems face challenges in accurately identifying individual actors within a cluster of potential actors in an environment using depth sensor data, due to factors like noise, overlapping positions, and limited sensor quality, which hinders precise location and movement tracking.
Innovation Solution
The system receives additional location and movement information from devices such as smartphones or wearable devices to match the movement patterns with point cloud data from depth sensors, allowing it to identify specific actors within a cluster by determining a portion of the data that corresponds to the device's movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depth sensor data is used to identify actors in a cluster, then location tracking is enabled, but measurement precision deteriorates due to noise and overlapping positions
Solution Approach 1:
The patent introduces wearable devices as intermediary elements that carry identification information and communicate with the system. These devices act as mediators between the depth sensor data and the actor identification process, enabling precise identification even when actors are clustered together by using the wearable device's unique identifier rather than relying solely on spatial separation
Solution Approach 2:
The patent transitions from purely spatial identification (3D coordinates from depth sensors) to a multi-dimensional approach by incorporating temporal information (movement patterns over time) and device-based identification (wearable device identifiers). This adds new dimensions to the identification problem, allowing distinction between actors who occupy overlapping spatial positions
2Measurement precision
If additional devices are used to provide location and movement information, then actor identification accuracy improves, but device complexity increases
Solution Approach 1:
The patent makes wearable devices serve multiple functions: they act as identification tags, movement sensors, and communication devices. This multi-functionality reduces the need for separate specialized equipment for each function, thereby managing system complexity while achieving high measurement precision through a single integrated device type
Solution Approach 2:
The wearable devices autonomously provide location and movement information without requiring external active sensing directed at each actor. The devices self-report their status and position, reducing the complexity of the central system's sensing and processing requirements while maintaining high identification accuracy
Data Source
AI summary
Examples methods and systems for locating an actor in an environment are described herein. For example, an information system may receive point cloud data representing a cluster of potential actors at a location in the environment. In addition, the information system may also receive location information from a device indicating that the current location of the device is proximate to the location of the cluster of potential actors. Based on movement information from the device that indicates movements of the device, the information system may determine a portion of the point cloud data that displays movements that matches the movement of the device. Using the determined portion of the point cloud, the information system may identify a particular actor of the cluster that corresponds to the device and provide an output signal indicating that the determined portion of the point cloud represents the identified particular actor.