TXT
# ISRMyo-I: A Database for sEMG-based Hand Gesture Recognition
## Introduction
- Categories:
893 Views
Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.
- Categories:
1512 Views
The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value
- Categories:
1156 Views
This dataset contains citation dynamics of individual papers published in several journals including ACM, Cell, IEEE, Nature, Science, NEJM, PNAS, Physical Review (PR), PRL. Each txt file contains citation dynamics (up to 2014) of papers published in a particular journal in a particular year. For example, ieee1985.txt contains citation dynamics of papers published in IEEE in 1985. Note that the citation counts of year 2014 are incomplete as this dataset was collected in summer 2014.
- Categories:
303 Views
The dataset stores a random sampling distribution with cardinality of support of 4,294,967,296 (i.e., two raised to the power of thirty-two). Specifically, the source generator is fixed as a symmetric-key cryptographic function with 64-bit input and 32-bit output. A total of 17,179,869,184 (i.e., two raised to the power of thirty-four) randomly chosen inputs are used to produce the sampling distribution as the dataset. The integer-valued sampling distribution is formatted as 4,294,967,296 (i.e., two raised to the power of thirty-two) entries, and each entry occupies one byte in storage.
- Categories:
558 Views
This data set is about the measurement of the statistical electromagnetic field coupling to several shielded coaxial cables. The lines are aligned in parallel to a wall of a reverberation chamber. With a vector network analyzer, the coupled voltage between the inner conductor and the cable shield is measured for different stirrer positions over a wide frequency range. For comparison, the coupled current on the cable shield is calculated based on transmission line theory. From the ratio between the inner voltage and the shield current, a coupling resistance can be calculated.
- Categories:
418 Views