Browse Prior Art Database

Method to detect an user's physical/mental well being while using a mobile device

IP.com Disclosure Number: IPCOM000202744D
Publication Date: 2010-Dec-27
Document File: 3 page(s) / 64K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method to utilize a mobile device to detect the state of the user’s physical and/or mental well-being. When in operation, a series of sensors on a mobile device collects physical data from the user and compares it to stored historical data. The system performs computations to determine a final health status of the user.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 3

Method to detect an user's physical/mental well being while using a mobile device

Detection of a person's physical/mental well being when using a mobile device has many useful applications. For example, when a user is authenticating into the mobile device, they may be under duress. Under such conditions, the mobile device may grant a lower level of access (e.g., turning off pay by phone feature), or when someone is ill while using the mobile device, the device can automatically issue a call for help. There are many medical devices that can test for a person's health; however, most of these devices are invasive and may require physical attachment to the body. A mobile device that detects a user's relative health based on a comparison of a current reading to historical data it finds on the web is a useful application.

Existing relevant prior art includes:
• A lie-detector application for smart phones. [1] This application analyzes the user's voice to detect stress.

• Stress detection device and methods of use thereof. [2]. The technology uses a camera and thermal imaging to detect and analyze stress

• A smell detector [3]

The disclosed invention is a mobile device feature that can automatically detect anomalies in the user's physical/mental state, greatly enhancing the utilities of the mobile device. The system is built into the mobile device in such a way that no invasive probes or peripherals are needed. The system is totally transparent to the user. The core idea is to have a system that uses a plurality of inputs from sensors built into the phone, and compare the user's data with historical data that the system discovers over the network to compute a precise reading of the user's relative physical/mental state.

In the preferred embodiment, the system is comprised of four types of sensors which are built into the mobile device to gather health data from the user:
1. "Sight sensor" - The mobile device's camera is used to take a picture of the user's face. The picture is then analyzed for signs of stress against a predefined set of criteria. The analysis is enhanced by comparing the new picture with a historical snapshot stored on the mobile device, as well as by comparing it to images of the user stored on online repositories such as social networking sites. Comparison criteria can include facial expression, skin coloration, and so on.

2. "Sound sensor" - The mobile device, via its microphone, stores snippets of the user's voice over time for future analysis comparison. The current voice spoken on the phone is dynamically analyzed for signs of stress against a predefined set of criteria. The analysis is enhanced by comparing historic...