Human computer interaction
The 'AirScript' dataset consists of surface electromyography (sEMG) signals obtained while writing the uppercase English alphabets (A–Z) in free space. The Delsys Trigno device was used to record forearm muscle activity from 16 subjects. Every subject performs two trials for each letter, thus resulting in 52 samples per subject. sEMG signals obtained from all subjects were stored at a 2000 Hz sampling rate for high temporal resolution. The dataset consists of raw sEMG signals that are stored in subject-specific folders and saved as `.npy` files.
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Mixed Reality (MR) technologies and the spread of Head-Mounted Displays (HMDs) available at low cost are causing a shift in design education toward the Metaverse. In this digital transformation scenario, there is a need to rethink design and teaching methods. The scientific literature only provides contributions related to interaction design labs that do not include MR education. This paper presents an innovative lab with an integrated multidisciplinary approach that aims to teach students to design the next generation of MR interfaces.
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A commonly used definition of spatial disorientation (SD) in aviation is "an erroneous sense of one’s position and motion relative to the plane of the earth’s surface". There exists a wide range of SD use-cases dictated by situational factors, therefore SD has been predominantly studied using reduced motion detection experimental contexts in isolation. The study of SD by use-case makes it difficult to understand general SD occurrence and thus provide viable solutions. To investigate SD in a generalized manner, a two-part Human Activity Recognition (HAR) study was performed.
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