A possible basis for the risk assessment for hand-transmitted vibration may be to determine the amount of energy absorbed in the human hand and arm. In the present study, the mechanical energy absorption in the hand-arm system was measured within the frequency range of 4 to 1000 Hz. The study was carried out on ten healthy subjects during exposure to sinusoidal vibration. The influence of vario...

objective: there are controversial reports about factors that affect recovery from stuttering. in the ‎present study, the effect of hand dominancy, fine motor and inhibition control on late ‎recovery from stuttering was investigated among a group of kurdish-persian children who ‎stuttered in iran.‎ method: twenty-two kurdish-persian children aged 7-14 years who stuttered were followed for 6 ‎ye...

We present One Hand Clapping (OHC), a method for the detection of condition-specific interactions between transcription factors (TFs) from genome-wide gene activity measurements. OHC is based on a mapping between transcription factors and their target genes. Given a single case-control experiment, it uses a linear regression model to assess whether the common targets of two arbitrary TFs behave...

The biggest challenge in the development of gesturebased user interfaces is the creation of a gesture recognizer. Existing approaches to support high-level recognition of glyphs require a lot of effort from developers, are error prone, and suffer from low recognition rates. We propose a tool that generates a recognizer for hand-drawn glyphs from one example. Our tool uses the output of a basic ...

A recent study has provided surprising new insights into the neural mechanisms underlying our ability to transfer a learned motor skill from one hand to the other.

Brain computer interface (BCI) is an assistive technology, which decodes neurophysiological signals generated by the human brain and translates them into control signals to control external devices, e.g., wheelchairs. One problem challenging noninvasive BCI technologies is the limited control dimensions from decoding movements of, mainly, large body parts, e.g., upper and lower limbs. It has be...

With the advancements in modern signal processing techniques, the field of brain-computer interface (BCI) is progressing fast towards noninvasiveness. One challenge still impeding these developments is the limited number of features, especially movement-related features, available to generate control signals for noninvasive BCIs. A few recent studies investigated several movement-related featur...