Cloud Gesture Recognition via Distributed Sensor Fusion
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Solution Overview
Problem
Existing communication systems face challenges in efficiently transferring and synchronizing data between devices connected to wireless networks, as they are largely unaware of each other's presence, making data transfer a cumbersome process.
Innovation Solution
A 'gesture paradigm' that recognizes and processes gestures performed by users holding devices in a cloud computing environment, allowing these gestures to produce predefined results by utilizing various input and output capabilities such as accelerometers, video recognition, and wireless communication, enabling device users to interact with each other and affect outputs across connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices are connected within private local networks or Internet, then network connectivity is established, but devices are largely unaware of each other's presence making data transfer cumbersome
Solution Approach 1:
The patent introduces a server as an intermediary that maintains presence information about devices in the network. Instead of devices directly discovering each other, the server acts as a mediator that tracks device presence and enables data transfer, thus resolving the contradiction between reliable device awareness and ease of data transfer operation
2Measurement precision
If multiple sensors are used for gesture detection, then gesture recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent combines data from multiple sensors (accelerometer, gyroscope, magnetometer, barometer, microphone, camera) into a unified gesture recognition system. By merging sensor inputs and processing them collectively to recognize gestures, the system achieves high measurement precision while managing complexity through integrated processing rather than separate systems
Solution Approach 2:
The patent makes mobile devices universal by equipping them with multiple sensor types that serve various functions - acceleration detection, rotation detection, magnetic field sensing, pressure detection, audio capture, and visual recording. This multi-functionality allows a single device to perform diverse gesture recognition tasks, improving accuracy without proportionally increasing complexity
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
Facilitates seamless interaction and data transfer between devices by interpreting and executing gestures in real-time, enhancing the user experience through multi-dimensional experiences and social interactions within a cloud computing environment.
Implementation Method 1
accelerometers
Implementation Method 2
gyrometers
Implementation Method 3
video recognition
Data Source
AI summary
The techniques discussed herein contemplate methods and systems for providing, for example, interactive virtual experiences that are initiated or controlled using user gestures. In embodiments, the techniques provide for gestures performed by users holding devices to be recognized and processed in a cloud computing environment such that the gestures produce a predefined desired result. According to one embodiment, a server communicates with a first device in a cloud computing environment, wherein the first device can detect surrounding devices, and an application program is executable by the server, wherein the application program is controlled by the first device and the output of the application program is directed by the server to one of the devices detected by the first device.