Appropriating the Body as an Input Surface” blog. This is an attractive area to appropriate as it provides considerable surface area for interaction, including a contiguous and flat area for projection. I take this opportunity to express my gratitude to the people who have been instrumental in the successful completion of this report. These are normalized by the highest-amplitude FFT value found on any channel. We highlight these two separate forms of conduction transverse waves moving directly along the arm surface, and longitudinal waves moving into and out of the bone through soft tissues because these mechanisms carry energy at different frequencies and over different distances.
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. Apart from the efforts of me, the success of this project depends largely on the encouragement and guidelines of many others. 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. After an input has been segmented, the waveforms are analyzed. The audio stream was segmented into individual taps using an absolute exponential average of all ten channels. Microsoft has not commented on the future of the projects, other than it is under active development.
This is an attractive area to appropriate as it provides considerable surface area for interaction, including a contiguous and flat area for projection.
When the sensor was placed below the elbow, on the forearm, one package was located near the Radius, the bone that runs from the lateral side of the elbow to the thumb side of the wrist, and the other near the Ulna, which runs parallel to this on the medial side of the arm closest to the body. There has been less work relating to the intersection of finger input and biological signals.
Thus, the results presented are to be considered a baseline. A full description of SVMs is beyond the scope of this paper. Ramchandra, Head of the Department, for giving me a chance to present this seminar.
Skinput: appropriating the body as an input surface
It describes a novel, wearable bio-acoustic sensing array that we built into an armband in order to detect and localize finger taps on the forearm and hand. These are fed into the trained SVM for classification. Moreover, both techniques required the placement of sensors near the area of interaction e. To capture the ;aper variety of acoustic information described in the previous section, we evaluated many sensing technologies, including bone conduction microphones, conventional microphones coupled with stethoscopes, piezo contact microphones, and accelerometers.
Thus most sensors in this category were not especially sensitive to lower-frequency signals e.
These include single-handed gestures, taps with different parts of the finger, and differentiating between materials and objects. Subsequent feature selection established the all-pairs amplitude ratios and certain bands of the FFT to be the most predictive features.
Third, it classified these input instances. Enter the email address you signed up with and we’ll email you a ressearch link.
Inspection of the confusion matrices showed techmology systematic errors in the classification, with errors tending to be evenly distributed over the other digits.
(PDF) IRJET-Skinput – An Evolving Sensing Technology | IRJET Journal –
However, because only a specific set of frequencies is conducted through the arm in response to tap input, a flat response curve leads to the capture of irrelevant frequencies and thus to a high signal- to-noise ratio. Wearing such a big band around other factors.
These, however, are computationally expensive and error prone in mobile scenarios where, e. Last but not the least, I acknowledge my friends for their contribution in the completion of the seminar report.
In Skinput technology, paler is used as a medium to control various computing operations.
Skinput – Wikipedia
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 the arm, with better acoustic coupling to the Humerus, the main bone that runs from shoulder to elbow. The highly discrete nature of taps i.
Figure shows the response curve for one of our sensors, tuned to a resonant frequency of 78Hz. This page was last edited on 20 Septemberat Basically it is located between the shoulder and elbow joint. In our prototype system, we choose to focus on the arm although the technique could be applied elsewhere. For example, describes a technique that allows a small mobile device to turn tables on which it rests into a gestural finger input canvas.
It has been reported this may not appear in commercial devices for at least 2 years. When the sensor was placed below the elbow, on the forearm, one package was located near the Radius, the bone that runs from the lateral side of the elbow to the thumb side of the wrist, and the other near the Ulna, which runs parallel to this on the medial side of the arm closest to the body.
The amplitude of these ripples is correlated to both the tapping force and to the volume and compliance of soft tissues under the impact area.
Inspection of the confusion matrices showed no systematic errors in the classification, with errors tending to be evenly distributed over the other digits. One option is to opportunistically appropriate surface area from the environment for interactive purposes. Thus, the results presented are to be considered a baseline. When classification was incorrect, the system believed the input to be an adjacent finger