Gesture-Triggered Mobile Device Contact Collection
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Solution Overview
Problem
Collecting contact information from individuals at gatherings is inefficient and cumbersome, especially with the decline in use of business cards, as it requires manual querying and recording, diverting attention from the purpose of the gathering and creating inefficiencies.
Innovation Solution
A mobile device system that automatically collects contact information through a gesture-based process, utilizing accelerometers, gyroscopes, thermal sensors, and short-range wireless technologies like Bluetooth and infrared to detect and identify individuals present, allowing for efficient data gathering without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual querying and recording of contact information is used, then contact information can be collected, but it requires significant time and effort, diverting attention from the purpose of the gathering
Solution Approach 1:
The system enables automated data collection where mobile devices self-identify and transmit contact information without manual intervention. The accelerometer-triggered automation allows the system to service itself by detecting device presence and initiating data exchange automatically, eliminating the need for manual querying and recording
Solution Approach 2:
The patent replaces the mechanical manual process of querying and writing down contact information with an automated electronic system. Mobile devices use accelerometers, wireless communication, and automated processing to substitute the manual mechanical actions, dramatically reducing time and effort required
2Loss of information
If manual contact information collection is performed, then contact details can be recorded, but it creates inefficiencies for all involved participants
Solution Approach 1:
Each mobile device autonomously identifies itself and transmits contact information automatically when triggered by accelerometer detection. This self-service mechanism eliminates the need for participants to manually assist in data collection, thereby eliminating inefficiencies for all involved while ensuring complete contact information acquisition
3Productivity
If automated gesture-based data collection is implemented, then data gathering efficiency is improved, but device complexity increases due to multiple sensors and wireless technologies
Solution Approach 1:
The mobile device leverages its existing multi-functional capabilities, combining accelerometer sensing, thermal sensing, wireless communication (Bluetooth, infrared), and processing into a single unified system. This universal approach allows the device to perform multiple functions (motion detection, identification, data transmission) without requiring separate dedicated systems, thereby managing complexity while achieving high productivity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and automated data collection of attendee information, reducing the time and effort required for gathering contact details, enhancing the productivity of gatherings by streamlining the process.
Implementation Method 1
When the device is spun, accelerometers and/or gyroscopes within the device detect the spin motion to trigger the gathering process
Implementation Method 2
When the device is spun, accelerometers and/or gyroscopes within the device detect the spin motion to trigger the gathering process
Implementation Method 3
the device employs the accelerometer and/or gyro in concert with a thermal sensor such as a digital thermopile ("Digipile") sensor to detect the presence of individuals
Implementation Method 4
a common database is provided correlating phones and/or Bluetooth ID's on per phone basis
Implementation Method 5
each responding device issues an IR (infrared) signal encoded with that user's ID
Data Source
AI summary
A system and method for identifying persons near a mobile device includes a wireless signaling system including an incoming wireless signal receiver, a device motion sensing system including at least a first sensor and a controller configured to determine whether the device is being moved in accordance with a predetermined gesture and to responsively enter a personnel data collection mode. In the personnel data collection mode, the device may transmit a query and receives an identification signal from at least one other device and identifies a user of the device based on the received identification signal. The predetermined gesture is a spinning gesture in an embodiment. In an embodiment, a thermal sensor is used to identify or enumerate personnel. The identification signal may be one of a Bluetooth ID and a WiFi ID.