Device, Method And Application For Establishing A Current Load Level

Patent No. US11468984 (titled "Device, Method And Application For Establishing A Current Load Level") was filed by V1Am Ltd on Apr 16, 2020.

What is this patent about?

’984 is related to the field of mobile device-based stress level detection. Specifically, it concerns using sensors and application usage data from a smartphone to determine a user's current stress level. The background acknowledges existing stress monitoring methods, including dedicated devices with sensors and questionnaire-based approaches, but notes their limitations in terms of cost, user burden, and reliability due to limited data sources.

The underlying idea behind ’984 is to leverage the ubiquitous nature of smartphones and their built-in sensors, combined with data on how users interact with applications, to infer their stress level. Instead of relying on specialized hardware or subjective questionnaires, the invention proposes a system that passively collects biometric data from various sources on the phone and uses this data to estimate the user's current load.

The claims of ’984 focus on a mobile device that calculates a user's current load level. This involves a mobile device with integrated sensors, a variety of applications, and an evaluation unit (either on the device or a central server). A key element is a further application that gathers biometric data from the sensors and application usage. The evaluation unit then determines the current load level using a network of artificial neural networks, with parallel processing and graphics card acceleration.

In practice, the invention works by having a background application on the smartphone collect data from sensors like the gyroscope, accelerometer, and microphone, as well as usage data from other applications like SMS, telephony, and social media apps. This data is then pre-processed and analyzed to extract relevant features related to sleep patterns, speech characteristics, motor functions (typing speed), and social interactions. These features are then fed into a neural network to estimate the user's stress level.

The differentiation from prior approaches lies in the comprehensive use of readily available data sources on a standard smartphone, eliminating the need for dedicated stress monitoring devices. By combining sensor data with application usage patterns, the system aims to provide a more reliable and less intrusive way to assess a user's stress level. The use of a network of neural networks , processed in parallel with graphics card support, is intended to improve the accuracy and efficiency of the stress level estimation.

How does this patent fit in bigger picture?

Technical landscape at the time

In the early 2010s when ’984 was filed, mobile devices such as smartphones were becoming increasingly powerful and ubiquitous, at a time when mobile applications were typically distributed through centralized app stores. Systems commonly relied on sensors integrated into these devices, such as accelerometers and GPS, to gather data. When hardware or software constraints made complex data processing on the device non-trivial, data was often transmitted to remote servers for analysis.

Novelty and Inventive Step

The examiner approved the application because the independent claims were novel and non-obvious. The examiner stated that the subject matter of the independent claims could not be found or suggested in the prior art. The examiner was convinced by the applicant's arguments, especially in light of the amendments made to the claims. The prior art of record failed to teach or reasonably suggest the concept of displaying a consolidated load level to the user via a mobile device, where the consolidated load level is obtained from a combination of category-specific load levels using an arithmetic or weighted mean, in combination with the other limitations of the claim.

Claims

This patent contains 18 claims, with independent claims 1 and 12. Independent claim 1 focuses on a device for calculating a user's current load level using a mobile end unit with sensors and applications, while independent claim 12 focuses on a method for calculating a user's current load level using a mobile end unit. The dependent claims generally elaborate on specific features, components, and steps related to the device and method described in the independent claims.

Key Claim Terms New

Definitions of key terms used in the patent claims.

Term (Source)Support for SpecificationInterpretation
Available applications
(Claim 1, Claim 12)
“An available application denotes an application that is available on a mobile terminal. That is to say an application that is installed and executable on the mobile terminal, such as telephony, SMS, MMS, chat applications and/or browser applications for accessing the Internet and also other applications that are suitable for extracting tactile, acoustic and/or visual biometric features of the user.”Applications installed and executable on the mobile end unit, such as telephony, SMS, MMS, chat applications, and browser applications, suitable for extracting tactile, acoustic, and/or visual biometric features of the user.
Category-specific load levels
(Claim 1, Claim 12)
“The biometric data determined by the further application can be divided into different categories. The biometric data ascertained from the further application belong to the categories sleep, speech, motor functions, social interaction, economic data, personal data and questionnaire data.”Stress levels determined for each category of biometric data (e.g., sleep, speech, motor functions) by calculating an arithmetic or weighted mean of features related to the biometric data within that category.
Consolidated load level
(Claim 1, Claim 12)
“From the second current stress level 36C for the motor functions category and if need be further available valid current stress levels for further categories, the data manager 61 determines the consolidated current stress level 36 and visualizes it, for example by updating the traffic light icon.”A single stress level value displayed to the user, derived from a combination (arithmetic or weighted mean) of the category-specific load levels.
Further application
(Claim 1, Claim 12)
“The present invention comprises a further application that can be installed on a mobile terminal and that ascertains a multiplicity of biometric data from a user. In order to ascertain the biometric data, the further application interacts with other components that are likewise arranged in the mobile terminal. By way of example, the other components are sensors integrated in the mobile terminal and also available applications.”An application installed on the mobile end unit that calculates biometric data about the user from sensor data and user data of available applications.
Network of artificial neural networks
(Claim 1, Claim 12)
“In a further-developed embodiment, the evaluation unit ascertains a current stress level for a user using a network of artificial neural networks, for example using a Deep Belief Network. The network of artificial neural networks is made up of a plurality of neural networks that interact with one another. In a network of neural networks, a single neural network comprises an input layer and a hidden layer.”A system comprising multiple interconnected artificial neural networks used by the evaluation unit to determine the current load level.

Litigation Cases New

US Latest litigation cases involving this patent.

Case NumberFiling DateTitle
1:25-cv-04089Jul 24, 2025Mobile Health Innovative Solutions, Llcs V. Polar Electro, Inc.
2:24-cv-00014Jan 10, 2024Mobile Health Innovative Solutions, Llc V. Apple Inc.

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US11468984

V1AM LTD
Application Number
US16850984
Filing Date
Apr 16, 2020
Status
Granted
Expiry Date
Aug 1, 2033
External Links
Slate, USPTO, Google Patents