How It Works
The RotoView Evaluation System is an inexpensive testbed for developers who want to explore this new and unique navigation method for smartphones. The RotoView board connects directly to your PC, and once the RotoView software is installed you can begin experimenting.
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Our patented RotoView relies on modern tilt sensors and our unique Non-linear Dynamic Response (NLDR) algorithms, so it quickly responds to the user's orientation changes. This creates a closed control loop that alleviates the need for exact linear relation between the orientation changes and the resulting display navigation.
Orientation sensors have been used for many years in virtual reality systems and in a variety of three-dimensional pointers and 3D mice. RotoView relies on MEMS accelerometers for their extremely low current (<0.4mA) and low operational voltage (3V), reasonable tilt resolution, adequate response time, ease of interface, small size, and low cost.
The core electronics of smart hand-held devices employ at least one micro-controller, a display controller, and memory storage for program and display data. These functions are often integrated into a single chip or a processor and chip-set arrangement. For clarity, other common components like the power source and the keyboard/stylus interface are not shown in the block diagram. The mode switch selects between fixed mode and view navigation mode and can be controlled by a button or by using the software to detect specific hand gestures. Ideally, RotoView should be implemented at the core electronics and operating systems level.
RotoView relies on a dual-axis MEMS accelerometer to detect the
changes in the spatial orientation at which the device is held. The sensor is
mounted so that its X-axis and Y-axis generally coincide with the "pitch" and
"roll" axes of the device. An optional Z-axis sensor may be used to improve
performance. The sensor provides analog voltages or duty cycle modulator (DCM)
signals that are responsive to the tilt of the sensor and hand accelerations
along each axis. The sensor interface converts these analog signals to digital
format. During the view navigation mode, the micro-controller translates the changes in pitch and roll orientation to navigation commands that scroll the large virtual display stored in the memory. This process is controlled by the dynamically changing response curves of the RotoView navigation algorithm.
The user's hand movement cannot be restricted only to tilt change - all hand movements include some lateral movements with acceleration components that add to the sensor's measurements. Choice of a non-linear dynamic algorithm and the natural subliminal closed loop comprising the user's hand movements and the resultant navigation combines the lateral movement and actual tilts to achieve the desired results.
Click here to download the RotoView Fact Sheet. (PDF file, 179k)