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1. 发明授权

US11586287B2 Object tracking device 有权
公开(公告)号：US11586287B2
公开(公告)日：2023-02-21
申请号：US17208997
申请日：2021-03-22
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06F3/01
摘要： A system includes a microcontroller, one or more sensors affixed to an object, and memory storing one or more programs including instructions for receiving and storing first sensor data from the one or more sensors in response to motion of the object, determining whether the first sensor data meets a first threshold, in accordance with a determination that the first sensor data meets the first threshold: receiving and storing second sensor data from the one or more sensors in response to subsequent motion of the object for as long as the second sensor data meets a second threshold, performing pattern recognition on the second sensor data, and identifying a first position of the object based on the pattern recognition of the second sensor data.

2. 发明申请

US20200159320A1 OBJECT TRACKING DEVICE 审中-公开
公开(公告)号：US20200159320A1
公开(公告)日：2020-05-21
申请号：US16748711
申请日：2020-01-21
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06F3/01
摘要： A system includes a microcontroller, one or more sensors affixed to an object, and memory storing one or more programs including instructions for receiving and storing first sensor data from the one or more sensors in response to motion of the object, determining whether the first sensor data meets a first threshold, in accordance with a determination that the first sensor data meets the first threshold: receiving and storing second sensor data from the one or more sensors in response to subsequent motion of the object for as long as the second sensor data meets a second threshold, performing pattern recognition on the second sensor data, and identifying a first position of the object based on the pattern recognition of the second sensor data.

3. 发明申请

US20190080227A1 Parallel Neural Processor for Artificial Intelligence 审中-公开
公开(公告)号：US20190080227A1
公开(公告)日：2019-03-14
申请号：US16124104
申请日：2018-09-06
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06N3/063 , G06N3/04 , G06K9/62
摘要： Systems and/or devices for efficient and intuitive methods for implementing artificial neural networks specifically designed for parallel AI processing are provided herein. In various implementations, the disclosed systems, devices, and methods complement or replace conventional systems, devices, and methods for parallel neural processing that (a) greatly reduce neural processing time necessary to process more complex problem sets; (b) implement neuroplasticity necessary for self-learning; and (c) introduce the concept and application of implicit memory, in addition to explicit memory, necessary to imbue an element of intuition. With these properties, implementations of the disclosed invention make it possible to emulate human consciousness or awareness.

4. 发明授权

US09417693B2 Wearable wireless HMI device 有权
标题翻译：穿戴式无线HMI设备
公开(公告)号：US09417693B2
公开(公告)日：2016-08-16
申请号：US14963214
申请日：2015-12-08
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06F3/01
CPC分类号： G06F3/014 , G06F3/017
摘要： A wearable gesture control interface apparatus is used to control a controllable device based on gestures provided by a user. The wearable gesture control interface apparatus includes (i) sensors configured to detect user orientation and movement and generate corresponding sensor data and (ii) a microcontroller configured to: sample the sensor data from the sensors, determine whether the sensor data from one of the sensors meets transmission criteria; and if the sensor data meets the transmission criteria, transmitting control data corresponding to all of the sensors to the controllable device.
摘要翻译：可佩戴手势控制接口装置用于基于由用户提供的手势来控制可控设备。所述可穿戴手势控制接口装置包括：（i）被配置为检测用户取向和移动并产生相应的传感器数据的传感器;以及（ii）微控制器，被配置为：从传感器对传感器数据进行采样，确定来自传感器之一的传感器数据符合传输标准; 并且如果传感器数据满足传输标准，则将与所有传感器对应的控制数据发送到可控设备。

5. 发明授权

US07590820B2 Efficient algorithm for multiple page size support in IPF long format VHPT 失效
标题翻译：用于IPF长格式VHPT的多页大小支持的高效算法
公开(公告)号：US07590820B2
公开(公告)日：2009-09-15
申请号：US11220695
申请日：2005-09-08
申请人： Yaozu Dong , Arun Sharma , Xiaoyan Feng , Rohit Seth
发明人： Yaozu Dong , Arun Sharma , Xiaoyan Feng , Rohit Seth
IPC分类号： G06F9/34 , G06F9/36
CPC分类号： G06F12/1018 , G06F12/1036 , G06F12/109 , G06F2212/652
摘要： A machine-accessible medium may contain program instructions that, when executed by a processor, may cause the processor to perform at least one operation including searching a virtual hash page table (VHPT) using a region identifier and a virtual page number of a virtual address, and a default page size corresponding to the region identifier to locate a virtual address translation in the VHPT. The operation performed may further include searching the VHPT using the region identifier, the virtual page number, and at least one utilized page size to locate a virtual address translation in the VHPT if a virtual address translation is not located during the search of the VHPT using the region identifier, virtual page number, and default page size. The operation performed may also include inserting the located virtual address translation into a translation cache once a virtual address translation is located.
摘要翻译：机器可访问介质可以包含程序指令，当处理器执行时，处理器可以使处理器执行至少一个操作，包括使用区域标识符和虚拟地址的虚拟页面号来搜索虚拟散列页表（VHPT），以及与区域标识符对应的默认页面大小，以定位VHPT中的虚拟地址转换。执行的操作可以进一步包括使用区域标识符，虚拟页面号码以及至少一个使用的页面大小来搜索VHPT，以便在VHPT搜索期间如果虚拟地址转换不在位置时定位VHPT中的虚拟地址转换，则使用区域标识符，虚拟页码和默认页面大小。所执行的操作还可以包括一旦虚拟地址转换被定位，将定位的虚拟地址转换插入到转换高速缓存中。

6. 发明授权

US11507806B2 Parallel neural processor for Artificial Intelligence 有权
公开(公告)号：US11507806B2
公开(公告)日：2022-11-22
申请号：US16124104
申请日：2018-09-06
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06N3/06 , G06N3/063 , G06K9/62 , G06N3/04 , G06F9/46 , G06N3/08
摘要： Systems and/or devices for efficient and intuitive methods for implementing artificial neural networks specifically designed for parallel AI processing are provided herein. In various implementations, the disclosed systems, devices, and methods complement or replace conventional systems, devices, and methods for parallel neural processing that (a) greatly reduce neural processing time necessary to process more complex problem sets; (b) implement neuroplasticity necessary for self-learning; and (c) introduce the concept and application of implicit memory, in addition to explicit memory, necessary to imbue an element of intuition. With these properties, implementations of the disclosed invention make it possible to emulate human consciousness or awareness.

7. 发明授权

US11138496B2 Parallel neural processor for artificial intelligence 有权
公开(公告)号：US11138496B2
公开(公告)日：2021-10-05
申请号：US16145077
申请日：2018-09-27
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06N3/063 , G06K9/62 , G06N3/04 , G06F9/46 , G06N3/08
摘要： Systems and/or devices for efficient and intuitive methods for implementing artificial neural networks specifically designed for parallel AI processing are provided herein. In various implementations, the disclosed systems, devices, and methods complement or replace conventional systems, devices, and methods for parallel neural processing that (a) greatly reduce neural processing time necessary to process more complex problem sets; (b) implement neuroplasticity necessary for self-learning; and (c) introduce the concept and application of implicit memory, in addition to explicit memory, necessary to imbue an element of intuition. With these properties, implementations of the disclosed invention make it possible to emulate human consciousness or awareness.

8. 发明授权

US10540010B2 Object tracking device 有权
公开(公告)号：US10540010B2
公开(公告)日：2020-01-21
申请号：US16526901
申请日：2019-07-30
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06F3/01
摘要： A system includes a microcontroller, one or more sensors affixed to an object, and memory storing one or more programs including instructions for receiving and storing first sensor data from the one or more sensors in response to motion of the object, determining whether the first sensor data meets a first threshold, in accordance with a determination that the first sensor data meets the first threshold: receiving and storing second sensor data from the one or more sensors in response to subsequent motion of the object for as long as the second sensor data meets a second threshold, performing pattern recognition on the second sensor data, and identifying a first position of the object based on the pattern recognition of the second sensor data.

9. 发明申请

US20200011669A1 Motion Sensor with Drift Correction 审中-公开
公开(公告)号：US20200011669A1
公开(公告)日：2020-01-09
申请号：US16453961
申请日：2019-06-26
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G01C21/16 , G01P13/00 , G01C19/00 , G01C25/00
摘要： Systems and/or devices for implementing a tracking device for tracking a position/location and orientation of an object are provided herein. The device comprises one or more sides that define a predetermined shape, and a plurality of inertial measurement units (IMU) mounted to the one or more sides of the predetermined shape. Each IMU is configured to detect movement of the object and generate inertial output data representing a position and/or orientation of the object. Each IMU includes a first sub-sensor and a second sub-sensor. Each IMU is positioned at a predetermined distance and orientation relative to a center point of the tracking device. The device also comprises a controller communicatively coupled to the plurality of IMUs, the controller configured to receive output data from each of the plurality of IMUs, and determine position/location and orientation of the object based on the received output data from the plurality of IMUs and known data points for the predetermined shape to eliminate drift from sensor data.

10. 发明申请

US20190354180A1 OBJECT TRACKING DEVICE 审中-公开
公开(公告)号：US20190354180A1
公开(公告)日：2019-11-21
申请号：US16526901
申请日：2019-07-30
申请人： Rohit Seth
发明人： Rohit Seth
IPC分类号： G06F3/01
摘要： A system includes a microcontroller, one or more sensors affixed to an object, and memory storing one or more programs including instructions for receiving and storing first sensor data from the one or more sensors in response to motion of the object, determining whether the first sensor data meets a first threshold, in accordance with a determination that the first sensor data meets the first threshold: receiving and storing second sensor data from the one or more sensors in response to subsequent motion of the object for as long as the second sensor data meets a second threshold, performing pattern recognition on the second sensor data, and identifying a first position of the object based on the pattern recognition of the second sensor data.

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