公开(公告)号：US20180329506A1

公开(公告)日：2018-11-15

申请号：US15777981

申请日：2015-12-22

Applicant: Intel Corporation

Inventor： Zhiqiang Liang ,  Tinqian Li ,  Jinkui Ren

IPC: G06F3/01 ,  G06F3/0346

CPC classification number: G06F3/017 ,  G06F3/0346 ,  G06F3/038

Abstract: Systems and methods for recognizing a gesture in a wearable device are disclosed. The system may sense a plurality of sensor measurements during a gesture sensing session, and down-sample the measurements using an adaptive down-sampling interval. The adaptive down-sampling interval may be determined based at least on a fractional part of a ratio of a frame length of the sensor measurements to a specified target length shorter than the frame length. The magnitude of the down-sampled measurements is normalized, and a feature vector may be generated using the normalized measurements. A gesture recognizer module may associate a gesture with the feature vector using gesture classification.

公开(公告)号：US11344211B2

公开(公告)日：2022-05-31

申请号：US16061616

申请日：2015-12-23

Applicant: Intel Corporation

Inventor： Tingqian Li ,  Zhaohui Meng ,  Jinkui Ren

IPC: A61B5/02 ,  A61B5/024 ,  A61B5/00 ,  G06K9/62

Abstract: Embodiments of a system and method for heart rate monitoring are generally described herein. A method may include receiving, at a device, a spectrogram including a plurality of bins of represented frequencies corresponding to potential heart rate measurements, selecting a bin of frequencies from the plurality of bins of represented frequencies with an average power that exceeds average powers of remaining bins of frequencies of the plurality of bins of represented frequencies, determining whether a frequency of the bin of frequencies represents a valid heart rate based on the average power and a past valid heart rate, and in response to determining that the frequency represents a valid heart rate, outputting a heart rate corresponding to the frequency.

公开(公告)号：US20220075639A1

公开(公告)日：2022-03-10

申请号：US17405857

申请日：2021-08-18

Applicant: Intel Corporation

Inventor： Tianyou Li ,  Shu Xu ,  Jinkui Ren ,  Zidong Jiang ,  Weiliang Lin ,  Chaobo Zhu ,  Yong Hu

IPC: G06F9/455 ,  G06F9/38

Abstract: In one example, a system for executing applications can include a main processor to initialize a virtual machine to execute an application. The main processor can also determine a main utilization indicator of the main processor is above a threshold and an auxiliary utilization indicator of an auxiliary processor is below a threshold, wherein the auxiliary processor is based on an auxiliary instruction set architecture. Additionally, the main processor can transmit an instruction from the application to the auxiliary processor for execution and update context data for the application in response to receiving an execution result from the auxiliary processor.

公开(公告)号：US11099879B2

公开(公告)日：2021-08-24

申请号：US16469278

申请日：2016-12-16

Applicant: INTEL CORPORATION

Inventor： Tianyou Li ,  Shu Xu ,  Jinkui Ren ,  Zidong Jiang ,  Weiliang Lin ,  Chaobo Zhu ,  Yong Hu

IPC: G06F9/455 ,  G06F9/38

Abstract: In one example, a system for executing applications can include a main processor to initialize a virtual machine to execute an application. The main processor can also determine a main utilization indicator of the main processor is above a threshold and an auxiliary utilization indicator of an auxiliary processor is below a threshold, wherein the auxiliary processor is based on an auxiliary instruction set architecture. Additionally, the main processor can transmit an instruction from the application to the auxiliary processor for execution and update context data for the application in response to receiving an execution result from the auxiliary processor.

公开(公告)号：US20180329565A1

公开(公告)日：2018-11-15

申请号：US15774667

申请日：2015-12-23

Applicant: Intel Corporation

Inventor： Fai Yeung ,  Jinkui Ren ,  Tingqian Li ,  Tong Chen ,  Gregory Meunier

IPC: G06F3/041 ,  G06F3/0488 ,  G06F3/01

CPC classification number: G06F3/0416 ,  G06F3/017 ,  G06F3/0414 ,  G06F3/0418 ,  G06F3/04883

Abstract: Embodiments are directed to gesture recognition in a computing device. Touch-based input by the user is monitored based on an output from a touch sensor. Gestures are directed from among the touch-based input. The detected gestures are analyzed to assign gesture characteristic profiles to the detected gestures according to profiling criteria. A sequential event log is tabulated representing counts of series of gestures based on assigned characteristic profiles and on temporal sequencing of the gestures. Circumstances for invocation of gesture detection re-calibration are assessed based on the tabulated series of gestures.