Patents by Inventor Harshavardhan Mylapilli

Harshavardhan Mylapilli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240127683
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Application
    Filed: December 11, 2023
    Publication date: April 18, 2024
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Patent number: 11842615
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Grant
    Filed: October 12, 2021
    Date of Patent: December 12, 2023
    Assignee: Apple Inc.
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Patent number: 11276290
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: March 15, 2022
    Assignee: Apple Inc.
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Publication number: 20220036714
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Application
    Filed: October 12, 2021
    Publication date: February 3, 2022
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Publication number: 20200250954
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Application
    Filed: April 17, 2020
    Publication date: August 6, 2020
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Patent number: 10629048
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Grant
    Filed: September 11, 2018
    Date of Patent: April 21, 2020
    Assignee: Apple Inc.
    Inventors: Xing Tan, Huayu Ding, Parisa Deleh Hossein Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg
  • Publication number: 20190103007
    Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
    Type: Application
    Filed: September 11, 2018
    Publication date: April 4, 2019
    Inventors: Xing Tan, Huayu Ding, Parisa Dehleh Hossein-Zadeh, Harshavardhan Mylapilli, Hung A. Pham, Karthik Jayaraman Raghuram, Yann Jerome Julien Renard, Sheena Sharma, Alexander Singh Alvarado, Umamahesh Srinivas, Xiaoyuan Tu, Hengliang Zhang, Geoffrey Louis Chi-Johnston, Vivek Garg