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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Correlation analysis of the data from a mobile device accelerometer to detect the difference in step duration

Ch. 9131479. P. 1–4.
Borisova M. D., Tomchuk K. K., A. M. Turlikov

The work considers a method for determining average relative difference in the length of the left and right legs' steps when walking on straight even surface. This value indirectly characterizes the degree of a number of diseases of the musculoskeletal and central nervous systems. The measurement interval for the difference in duration by the proposed method is 2.5%. The method is based on the analysis of two-dimensional correlation function of the reference signal for the interval of one step of a foot and the signal taken from the vertical axis of the accelerometer of the mobile device fixed in any place on the subject's belt. 

Language: English
DOI
Keywords: accelerometermobile device correlation analysisStep durationStep model

In book

2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)
IEEE, 2020.
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