Singh; Ghanapriya

Patent Applications and Registrations

Patent applications and USPTO patent grants for Singh; Ghanapriya.The latest application filed is for "context awareness of a smart device through sensing transient and continuous events".

Company Profile

10.8.9

Singh; Ghanapriya - New Delhi IN

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Open vs enclosed spatial environment classification for a mobile or wearable device using microphone and deep learning method Grant 11,308,979 - Chowdhary , et al. April 19, 2	2022-04-19
Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning Grant 11,096,593 - Chowdhary , et al. August 24, 2	2021-08-24
Context Awareness Of A Smart Device Through Sensing Transient And Continuous Events App 20210208179 - CHOWDHARY; Mahesh ; et al.	2021-07-08
Open Vs Enclosed Spatial Environment Classification For A Mobile Or Wearable Device Using Microphone And Deep Learning Method App 20210151071 - Chowdhary; Mahesh ; et al.	2021-05-20
Context awareness of a smart device through sensing transient and continuous events Grant 10,976,337 - Chowdhary , et al. April 13, 2	2021-04-13
Open vs enclosed spatial environment classification for a mobile or wearable device using microphone and deep learning method Grant 10,943,602 - Chowdhary , et al. March 9, 2	2021-03-09
Method and apparatus for energy efficient probabilistic context awareness of a mobile or wearable device user by switching between a single sensor and multiple sensors Grant 10,748,075 - Chowdhary , et al. A	2020-08-18
Method For Generating A Personalized Classifier For Human Motion Activities Of A Mobile Or Wearable Device User With Unsupervise App 20200229710 - CHOWDHARY; Mahesh ; et al.	2020-07-23
Open Vs Enclosed Spatial Environment Classification For A Mobile Or Wearable Device Using Microphone And Deep Learning Method App 20200219528 - Chowdhary; Mahesh ; et al.	2020-07-09
Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning Grant 10,588,517 - Chowdhary , et al.	2020-03-17
Method and apparatus for determining probabilistic context awareness of a mobile device user using a single sensor and/or multi-sensor data fusion Grant 10,504,031 - Chowdhary , et al. Dec	2019-12-10
Context Awareness Of A Smart Device Through Sensing Transient And Continuous Events App 20190227096 - CHOWDHARY; Mahesh ; et al.	2019-07-25
Method For Generating A Personalized Classifier For Human Motion Activities Of A Mobile Or Wearable Device User With Unsupervised Learning App 20180333057 - Chowdhary; Mahesh ; et al.	2018-11-22
Method And Apparatus For Energy Efficient Probabilistic Context Awareness Of A Mobile Or Wearable Device User By Switching Between A Single Sensor And Multiple Sensors App 20180114133 - Chowdhary; Mahesh ; et al.	2018-04-26
Method And Apparatus For Determining Probabilistic Context Awareness Of A Mobile Device User Using A Single Sensor And/or Multi-sensor Data Fusion App 20180096256 - Chowdhary; Mahesh ; et al.	2018-04-05
Method and apparatus for determining probabilistic context awareness of a mobile device user using a single sensor and/or multi-sensor data fusion Grant 9,870,535 - Chowdhary , et al. January 16, 2	2018-01-16
Method And Apparatus For Determining Probabilistic Context Awreness Of A Mobile Device User Using A Single Sensor And/or Multi-sensor Data Fusion App 20160253594 - Chowdhary; Mahesh ; et al.	2016-09-01

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.