-
1.
公开(公告)号:US20250110548A1
公开(公告)日:2025-04-03
申请号:US18895924
申请日:2024-09-25
Applicant: Apple Inc. , Carnegie Mellon University
Inventor: Daehwa Kim , Istvan J. Szini , Christopher Harrison , Brian H. Tsang
Abstract: Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.
-
公开(公告)号:US11704568B2
公开(公告)日:2023-07-18
申请号:US16597404
申请日:2019-10-09
Applicant: Carnegie Mellon University
Inventor: Gierad Laput , Christopher Harrison
Abstract: Systems and techniques for facilitating hand activity sensing are presented. In one example, a system obtains, from a wrist-worn computational device, hand activity data associated with a sustained series of hand motor actions in performance of a human task. The system also employs a machine learning technique to determine classification data indicative of a classification for the human task.
-
公开(公告)号:US11481077B2
公开(公告)日:2022-10-25
申请号:US16978954
申请日:2019-03-26
Applicant: Carnegie Mellon University
Inventor: Christopher Harrison , Yang Zhang
Abstract: A touch sensing system is configured to determine a state of a paper material indicative of a touch input on the paper material. The actions include receiving one or more values of features representing physical properties of a paper material. The system generates, by a pair of electrodes in a conductive material that is electrically connected with the paper material, an electric field in the conductive material. The paper material is configured to shunt current from the conductive material when the paper material is touched. The system measures the electric field in the conductive material in the conductive material. The system generates an approximation of the electric field in the conductive material. The system determines with a classifier a state of the paper material indicative of a touch input on the paper material.
-
公开(公告)号:US20220005454A1
公开(公告)日:2022-01-06
申请号:US17377347
申请日:2021-07-15
Applicant: Carnegie Mellon University
Inventor: Gierad Laput , Karan Ahuja , Mayank Goel , Christopher Harrison
IPC: G10L13/033 , G10L21/0324 , G10L15/18
Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.
-
公开(公告)号:US20200051544A1
公开(公告)日:2020-02-13
申请号:US16539586
申请日:2019-08-13
Applicant: Carnegie Mellon University
Inventor: Gierad Laput , Karan Ahuja , Mayank Goel , Christopher Harrison
IPC: G10L13/033 , G10L15/18 , G10L21/0324
Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.
-
公开(公告)号:US20240144727A1
公开(公告)日:2024-05-02
申请号:US18384673
申请日:2023-10-27
Applicant: Carnegie Mellon University
Inventor: Nathan Riopelle , Christopher Harrison
CPC classification number: G06V40/28 , G06T7/55 , G06T2207/10028
Abstract: A wearable device has a plurality of sensors surrounding a user's arm or wrist and provides depth information about the user's environment. Each sensor in the plurality of sensors has a field-of-view that may include the user's arm, torso, and surrounding environment. A controller receives data from the plurality of sensors and merges the data to create a composite image or depth point cloud. The device utilizes low-resolution sensors, with the composite image having a greater resolution and field-of-view than any individual sensor. The device is worn on the user's arm or wrist and can be used for static or continuous hand pose estimation, whole-arm pose estimation, and object detection, among other applications.
-
公开(公告)号:US11069334B2
公开(公告)日:2021-07-20
申请号:US16539586
申请日:2019-08-13
Applicant: Carnegie Mellon University
Inventor: Gierad Laput , Karan Ahuja , Mayank Goel , Christopher Harrison
IPC: G10L15/18 , G10L13/033 , G10L21/0324
Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.
-
公开(公告)号:US10436615B2
公开(公告)日:2019-10-08
申请号:US15961537
申请日:2018-04-24
Applicant: Carnegie Mellon University
Inventor: Yuvraj Agarwal , Christopher Harrison , Gierad Laput , Sudershan Boovaraghavan , Chen Chen , Abhijit Hota , Bo Robert Xiao , Yang Zhang
Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.
-
9.
公开(公告)号:US20190138063A1
公开(公告)日:2019-05-09
申请号:US16095620
申请日:2017-04-20
Applicant: Carnegie Mellon University
Inventor: Bo Robert Xiao , Christopher Harrison , Scott E. Hudson
Abstract: The present invention includes provides secure, instant, and anonymous connections between two devices. The invention pairs a “cap” device with a capacitive touchscreen to a “cam” device with a camera sensor. For example, typical smartphones and tablets can be paired with each other, and these devices can be paired to even larger touchscreens, such as smart whiteboards and touchscreen monitors. The invention uses the cap device's touchscreen to detect and track the cam device, and displays color-modulated pairing data directly underneath the camera once the camera is touching the screen. The pairing data is used as configuration data for a bidirectional link, such as an ad-hoc WiFi or Bluetooth link. These links are established without requiring user configuration. As such, the present invention provides a unidirectional communication mechanism from the touchscreen to the camera, which is used to bootstrap a full bidirectional, high-speed link.
-
公开(公告)号:US10126123B2
公开(公告)日:2018-11-13
申请号:US14860496
申请日:2015-09-21
Inventor: Christopher Harrison , Bo Robert Xiao , Scott E. Hudson , Ivan Poupyrev , Karl D. D. Willis
IPC: G01C3/00 , G06F3/0346 , G06F3/03 , G01S5/16 , G01B11/02
Abstract: According to embodiments of the present invention are a system and method that use projected structured patterns of light and linear optical sensors for motion tracking. Sensors are capable of recovering two-dimensional location within the projection area, while several sensors can be combined for up to six degrees of freedom tracking. The structure patterns are based on m-sequences, in which any consecutive subsequence of m bits is unique. Both digital and static light sources can be used. The system and method of the present invention enables high-speed, high precision, and low-cost motion tracking for a wide range of applications.
-
-
-
-
-
-
-
-
-