Patents by Inventor Sheena Sharma
Sheena Sharma 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).
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Publication number: 20240127683Abstract: 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: ApplicationFiled: December 11, 2023Publication date: April 18, 2024Inventors: 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
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Patent number: 11842615Abstract: 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: GrantFiled: October 12, 2021Date of Patent: December 12, 2023Assignee: 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
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Publication number: 20230147505Abstract: Embodiments are disclosed for identifying poor cardio metabolic health using sensors of wearable devices. In an embodiment, a method comprises: obtaining estimates of maximal oxygen consumption of a user during exercise; determining at least one confidence weight based on context data; adjusting the maximal oxygen consumption estimates using the at least one confidence weight; aggregating the adjusted maximal oxygen consumption estimates to generate a summary maximal oxygen consumption estimate and corresponding confidence interval for the user; and classifying cardiorespiratory fitness of the user based on at least one of the summary maximum consumption estimate, the corresponding confidence interval, a population error model or a low cardiorespiratory fitness threshold.Type: ApplicationFiled: November 10, 2022Publication date: May 11, 2023Inventors: Katherine Niehaus, Britni A. Crocker, Maxsim L. Gibiansky, William R. Powers, III, Allison L. Gilmore, Asif Khalak, Sheena Sharma, Richard A. Fineman, Kyle A. Reed, Karthik Jayaraman Raghuram, Adeeti V. Ullal
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Publication number: 20230124158Abstract: Embodiments are disclosed for assessing walking steadiness of a mobile device user. In some embodiments, a method comprises: obtaining, with at least one processor of a mobile device, one or more mobility metrics indicative of a user's mobility, the mobility metrics obtained at least in part from a time series of sensor data output by at least one sensor of the mobile device; evaluating, with the at least one processor, the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features indicative of variability of the user's gait; and generating, with the at least one processor, at least one walking steadiness indicator for the user based on one or more walking steadiness component models and the one or more longitudinal features. Also disclosed are embodiments for training the component models.Type: ApplicationFiled: June 3, 2022Publication date: April 20, 2023Inventors: Mariah W. Whitmore, Jaehyun Bae, Richard A. Fineman, Sheena Sharma, Asif Khalak, Adeeti V. Ullal
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Publication number: 20230112071Abstract: Embodiments are disclosed for assessing fall risk of a mobile device user. In some embodiments, a method comprises: obtaining one or more mobility metrics indicative of a user’s mobility, the mobility metrics obtained at least in part from sensor data output by at least one sensor of the mobile device; evaluating the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features; estimating a plurality of walking steadiness indicators based on a plurality of component models and the one or more longitudinal features; inferring the user’s risk of falling based at least in part on the plurality of walking steadiness indicators; and initiating an action or application on the mobile device based at least in part on the user’s risk of falling.Type: ApplicationFiled: June 3, 2022Publication date: April 13, 2023Inventors: Asif Khalak, Mariah W. Whitmore, Maxsim L. Gibiansky, Richard A. Fineman, Jaehyun Bae, Sheena Sharma, Carolyn R. Oliver, Mark P. Sena, Maryam Etezadi-Amoli, Allison L. Gilmore, William R. Powers, III, Edith M. Arnold, Gabriel A. Blanco, Sohum R. Thakkar, Adeeti V. Ullal
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Patent number: 11282361Abstract: In an example method, a mobile device receives motion data obtained by one or more sensors over a time period, where the one or more sensors are worn by a user, The mobile device determines, based on the motion data, an impact experienced by the user during the time of period, and determines one or more of characteristics of the user. The mobile device determines, based on the motion data and the one or more characteristics of the user, a likelihood that the user requires assistance subsequent to the impact, and generates one or more notifications based on likelihood.Type: GrantFiled: July 14, 2020Date of Patent: March 22, 2022Assignee: Apple Inc.Inventors: Sheena Sharma, Umamahesh Srinivas, Adeeti V. Ullal, Xiaoyue Zhang, Hung A. Pham, Karthik Jayaraman Raghuram
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Patent number: 11276290Abstract: 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: GrantFiled: April 17, 2020Date of Patent: March 15, 2022Assignee: 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
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Publication number: 20220036714Abstract: 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: ApplicationFiled: October 12, 2021Publication date: February 3, 2022Inventors: 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
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Publication number: 20210005071Abstract: In an example method, a mobile device receives motion data obtained by one or more sensors over a time period, where the one or more sensors are worn by a user, The mobile device determines, based on the motion data, an impact experienced by the user during the time of period, and determines one or more of characteristics of the user. The mobile device determines, based on the motion data and the one or more characteristics of the user, a likelihood that the user requires assistance subsequent to the impact, and generates one or more notifications based on likelihood.Type: ApplicationFiled: July 14, 2020Publication date: January 7, 2021Inventors: Sheena Sharma, Umamahesh Srinivas, Adeeti V. Ullal, Xiaoyue Zhang, Hung A. Pham, Karthik Jayaraman Raghuram
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Publication number: 20200250954Abstract: 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: ApplicationFiled: April 17, 2020Publication date: August 6, 2020Inventors: 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
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Patent number: 10629048Abstract: 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: GrantFiled: September 11, 2018Date of Patent: April 21, 2020Assignee: 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
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Publication number: 20190103007Abstract: 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: ApplicationFiled: September 11, 2018Publication date: April 4, 2019Inventors: 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