IEEE RESEARCH PAPER ON SKINPUT TECHNOLOGY
Bone conduction headphones send sound through the bones of the skull and jaw directly to the inner ear, bypassing transmission of sound through the air and outer ear, leaving an unobstructed path for environmental sounds. This search revealed one plausible, although irregular, layout with high accuracy at six input locations. Enter the email address you signed up with and we’ll email you a reset link. Thus, the skin stretch induced by many routine movements e. The audio stream was segmented into individual taps using an absolute exponential average of all ten channels. This effect was more prominent laterally than longitudinally.
I am very grateful to Prof. Few external input devices can claim this accurate, eyes-free input characteristic and provide such a large interaction area. From these, average amplitude ratios between channel pairs 45 features are calculated. Unlike in the five-fingers condition, there appeared to be shared acoustic traits that led to a higher likelihood of confusion with adjacent targets than distant ones. Researchers have harnessed the electrical signals generated by muscle activation during normal hand movement through electromyography EMG. This is almost certainly related to the acoustic loss at the elbow joint and the additional 10cm of distance between the sensor and input targets.
Ramchandra, Head of the Department, for giving me a chance to present this seminar. Speech input is a techhnology choice for always- available input, but is limited in its precision in unpredictable acoustic environments, and suffers from privacy and scalability issues in shared environments.
Skinput: appropriating the body as an input surface
This suggests there are only limited acoustic continuities between the fingers. We collect these signals using a novel array of sensors worn as an armband.
We conclude with descriptions of several prototype applications that demonstrate the rich design space we believe Skinput enables. A person might walk toward their home, tap their palm to unlock the door and then tap some virtual buttons on their arms to turn on the TV and start flipping through channels.
Bone conduction headphones send sound through the bones of the skull and jaw directly to the inner ear, bypassing transmission of sound through the air and outer ear, leaving an unobstructed path for environmental sounds. Researchers have harnessed the electrical signals generated by muscle activation during normal hand movement through electromyography EMG.
Thus, the results presented are to be considered a baseline. Figure shows the response curve for one of our sensors, tuned to a resonant frequency of 78Hz.
This approach provides an always available, naturally portable, and on-body finger input system. Each location thus provided techhnology different acoustic coverage and information, helpful in disambiguating input location. In particular, resolves the location of finger tips on the arm and hand skiinput analyzing mechanical vibrations that propagate through the body.
These longitudinal compressive waves travel through the soft tissues of the arm, exciting the bone, which is much less deformable then the soft tissue but can respond to mechanical excitation by rotating and translating as a rigid body. Any interactive features bound to that event are fired. Skinput leverages the natural acoustic conduction properties of the human body to provide an input system, and is thus related to previous work in the use of biological signals for computer input.
We tuned the upper sensor package to be more sensitive to lower frequency signals, as these were more prevalent in fleshier areas.
At present, however, this approach typically requires expensive amplification systems and the application of conductive gel for effective signal acquisition, which would limit the acceptability of this approach for most users. For gross information, the average amplitude, standard deviation and total absolute energy of the waveforms in each channel 30 features is included.
Few external input devices can claim this accurate, eyes-free input characteristic and provide such a large interaction area. When a finger taps the skin, several distinct forms of acoustic energy are produced.
Ieee research paper on skinput technology – Google Docs
Other approaches have taken the form of wearable computing. While we do not explicitly model the xkinput mechanisms of conduction, or depend on these mechanisms for our analysis, we do believe the success of our technique depends on the complex acoustic patterns that result from mixtures of these modalities. In this section, we discuss the mechanical phenomenon that enables Skinput, with a specific focus on the mechanical properties of the arm.
In our prototype system, we choose to focus on the arm although the technique could be applied elsewhere.
Based on pilot data collection, we selected a different set of resonant frequencies skkinput each sensor package. Techniques based on computer vision are popular. Although simple, this heuristic proved to be highly robust, mainly due to the extreme noise suppression provided by sensing approach. Moreover, both techniques required the placement of sensors near the area of interaction e.
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researcch This stage requires the collection of several examples for each input location of interest. However, the sensors are highly responsive to motion perpendicular to the skin plane perfect for capturing transverse surface waves and longitudinal waves emanating from interior structures.
In particular, when placed on the upper arm above the elbowwe hoped to collect acoustic information from the fleshy bicep area in addition to the firmer area on the underside of skinpuf arm, with better acoustic coupling to the Humerus, the main bone that runs from shoulder to elbow.
This is almost certainly related to the acoustic loss at the elbow joint and the additional 10cm of distance between the sensor and input targets. Signals simply diminished in intensity overtime.
For example, we can readily flick each of our fingers, touch the tip of our nose, and clap our hands together without visual assistance.