Apple Inc.

Autodesk, Inc.

Jun Gong

Gierad Laput

George William Fitzmaurice

Fraser Anderson

Tovi Samuel Grossman

James T Curran

Ke-Yu Chen

Mengying Fang

Techniques may include ranging between a mobile device and a ranging device to obtain ranging measurements. In addition, the techniques may include performing inertial measurements, where the inertial measurements include directional measurements of movement of the mobile device. One or more of the ranging measurements or inertial measurements may be used to identify dwell points where the mobile device is stationary. Moreover, the techniques may include determining vectors of movement between the dwell points using inertial measurements. Also, the techniques may include determining a first and second distance from the ranging device by performing a first and second ranging measurement with the ranging device. Further, the techniques may include determining a direction of movement using inertial measurements. The techniques may include determining the mobile device is at the second dwell point by matching the first direction of movement to a vector of movement between the dwell points.

Learning emergent indoor locations of interest with minimal infrastructure

Embodiments described herein provide techniques to enable spatial sensor data from multiple devices to be fused into a single coordinate space. This fused sensor data can then be processed into a point cloud. Point cloud data can then be transformed to enable the classification of objects detected within the sensor data. Features within multiple feature spaces can be extracted from the point cloud data for use in classification. Classification of objects can also be used to correlate objects detected by multiple sensor equipped devices to determine a coordinate space transformation between those devices.

Machine learning based object identification

Techniques are disclosed for determining users, tasks, and levels of expertise in fabrication environments. Sensors may be placed in a fabrication environment, instrumented in tools, and/or worn on users. Given labeled features extracted from sensor data, machine learning techniques are used to train models to recognize users, tasks, and levels of expertise. The trained models may then be deployed to determine the users, tasks, and levels of expertise in a fabrication environment based on features extracted from new sensor data. In turn, actions such as displaying guidance or instructional materials, or locking a user out of using certain tools or parts of the fabrication environment, may be taken.

Techniques for tailoring fabrication environments based on user, task, and expertise

Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

User identification using headphones

Techniques disclosed herein combine computer vision with eye tracking by identifying, via computer vision, safety hazards in a video captured by a camera mounted on a pair of safety glasses, and generating an alert if a user wearing the safety glasses has not (recently) noticed the hazard. Whether the user has noticed the hazard is determined based on eye tracking information extracted from a video captured by another camera that is mounted on the safety glasses and points toward the user. As a result, safety hazards may be automatically detected and reported to the user. In addition, only those hazards that have not been (recently) noticed by the user cause an alert to be generated, so the user is not distracted with unnecessary notifications.

Growing community of inventors

Hanover, NH, United States of America

Jun Gong