42 research outputs found
AUTOMATIC LIP-READING OF HEARING IMPAIRED PEOPLE
Inability to use speech interfaces greatly limits the deaf and hearing impaired people in the possibility of human-machine interaction. To solve this problem and to increase the accuracy and reliability of the automatic Russian sign language recognition system it is proposed to use lip-reading in addition to hand gestures recognition. Deaf and hearing impaired people use sign language as the main way of communication in everyday life. Sign language is a structured form of hand gestures and lips movements involving visual motions and signs, which is used as a communication system. Since sign language includes not only hand gestures, but also lip movements that mimic vocalized pronunciation, it is of interest to investigate how accurately such a visual speech can be recognized by a lip-reading system, especially considering the fact that the visual speech of hearing impaired people is often characterized with hyper-articulation, which should potentially facilitate its recognition. For this purpose, thesaurus of Russian sign language (TheRusLan) collected in SPIIRAS in 2018β19 was used. The database consists of color optical FullHD video recordings of 13 native Russian sign language signers (11 females and 2 males) from βPavlovsk boarding school for the hearing impairedβ. Each of the signers demonstrated 164 phrases for 5 times. This work covers the initial stages of this research, including data collection, data labeling, region-of-interest detection and methods for informative features extraction. The results of this study can later be used to create assistive technologies for deaf or hearing impaired people
AUTOMATIC DETECTION AND RECOGNITION OF 3D MANUAL GESTURES FOR HUMAN-MACHINE INTERACTION
In this paper, we propose an approach to detect and recognize 3D one-handed gestures for human-machine interaction. The logical structure of the modules of the system for recording a gestural database is described. The logical structure of the database of 3D gestures is presented. Examples of frames showing gestures in the format of Full High Definition, in the map depth mode and in the infrared illustrated. Models of a deep convolutional network for detecting faces and hand shapes are described. The results of automatic detection of the area with the face and the shape of the hand are given. Identified the distinctive features of the gesture at a certain point in time. The process of recognizing 3D one-handed gestures is described. Due to its versatility, this method can be used in tasks of biometrics, computer vision, machine learning, automatic systems of face recognition, sign languages
Neural network-based method for visual recognition of driverβs voice commands using attention mechanism
Visual speech recognition or automated lip-reading systems actively apply to speech-to-text translation. Video data
proves to be useful in multimodal speech recognition systems, particularly when using acoustic data is difficult or
not available at all. The main purpose of this study is to improve driver command recognition by analyzing visual
information to reduce touch interaction with various vehicle systems (multimedia and navigation systems, phone calls,
etc.) while driving. We propose a method of automated lip-reading the driverβs speech while driving based on a deep
neural network of 3DResNet18 architecture. Using neural network architecture with bi-directional LSTM model and
attention mechanism allows achieving higher recognition accuracy with a slight decrease in performance. Two different
variants of neural network architectures for visual speech recognition are proposed and investigated. When using the
first neural network architecture, the result of voice recognition of the driver was 77.68 %, which was lower by 5.78 %
than when using the second one the accuracy of which was 83.46 %. Performance of the system which is determined
by a real-time indicator RTF in the case of the first neural network architecture is equal to 0.076, and the second β
RTF is 0.183 which is more than two times higher. The proposed method was tested on the data of multimodal corpus
RUSAVIC recorded in the car. Results of the study can be used in systems of audio-visual speech recognition which
is recommended in high noise conditions, for example, when driving a vehicle. In addition, the analysis performed
allows us to choose the optimal neural network model of visual speech recognition for subsequent incorporation into
the assistive system based on a mobile device
ΠΠ΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ΅Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ° ΠΎΠΏΠΎΡΡΡΠ²Π°ΡΡΠ΅Π³ΠΎ Π³Π΅ΡΠΏΠ΅ΡΠ°
Herpes zoster remains an actual problem for elderly patients and those with immunosuppression. Usually the clinic of Herpes zoster is considered as a combination of neuralgia and typical vesicular rash (sometimes with intoxication). However, the rash does not appear in all patients, and the spectrum of neurological manifestations of the virus reactivation is extremely wide. Most of them reduce the quality of life, and some may result in disability or even death. Due to polymorphic symptoms and difficulties in laboratory diagnosis, many cases of the disease may remain unrecognized, the patient will not receive the necessary etiotropic therapy, so the course of the disease will become more protracted, and the prognosis will worsen. This review is based on 62 domestic and foreign publications without limiting the depth of the search. Here we describe relatively rare forms of the disease with injury of the sensory and motor peripheral nerves, brain and cranial vessels. We offer You a detailed description of pain: herpetic and postherpetic neuralgia. Also in the article we describe examples of damage of motor neurons and give some basic information about damage to the central nervous system. A separate section is devoted to diagnostic methods. This section describes the advantages and disadvantages of diagnostic methods used in real clinical practice, indicates the materials for the study, and the markers of subclinical virus reactivation. The βtreatmentβ section is mainly devoted to the peculiarities of etiotropic therapy for various forms of the disease (with an indication of the recommended drugs, their doses and duration of the course). At the end of the article a list of clinical indications for examination for reactivation of the herpes zoster virus is defined.ΠΠΏΠΎΡΡΡΠ²Π°ΡΡΠΈΠΉ Π³Π΅ΡΠΏΠ΅Ρ ΠΎΡΡΠ°Π΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ Π΄Π»Ρ ΠΏΠΎΠΆΠΈΠ»ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΈ Π»ΠΈΡ Ρ ΠΈΠΌΠΌΡΠ½ΠΎΡΡΠΏΡΠ΅ΡΡΠΈΠ΅ΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ Π³Π΅Π½Π΅Π·Π°. Π’ΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎ ΠΊΠ»ΠΈΠ½ΠΈΠΊΡ ΡΡΠΎΠ³ΠΎ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ ΠΊΠ°ΠΊ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠ΅ Π½Π΅Π²ΡΠ°Π»Π³ΠΈΠΉ ΠΈ ΡΠΈΠΏΠΈΡΠ½ΡΡ
Π²Π΅Π·ΠΈΠΊΡΠ»Π΅Π·Π½ΡΡ
Π²ΡΡΡΠΏΠ°Π½ΠΈΠΉ (ΠΈΠ½ΠΎΠ³Π΄Π° Ρ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΉ ΠΈΠ½ΡΠΎΠΊΡΠΈΠΊΠ°ΡΠΈΠΈ). ΠΠ΄Π½Π°ΠΊΠΎ Π²ΡΡΡΠΏΠ°Π½ΠΈΡ ΠΏΠΎΡΠ²Π»ΡΡΡΡΡ Π½Π΅ Ρ Π²ΡΠ΅Ρ
Π±ΠΎΠ»ΡΠ½ΡΡ
, Π° ΡΠΏΠ΅ΠΊΡΡ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΠΉ ΡΠ΅Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ° ΠΎΠΏΠΎΡΡΡΠ²Π°ΡΡΠ΅Π³ΠΎ Π³Π΅ΡΠΏΠ΅ΡΠ° ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΠΎ ΡΠΈΡΠΎΠΊ, ΠΏΡΠΈΡΠ΅ΠΌ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΠΈΠ· Π½ΠΈΡ
ΡΠ½ΠΈΠΆΠ°ΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ·Π½ΠΈ, Π° Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π·Π°ΠΊΠΎΠ½ΡΠΈΡΡΡΡ ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΈΠ»ΠΈ Π΄Π°ΠΆΠ΅ Π»Π΅ΡΠ°Π»ΡΠ½ΡΠΌ ΠΈΡΡ
ΠΎΠ΄ΠΎΠΌ. ΠΠ·-Π·Π° ΠΏΠΎΠ»ΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΈ ΠΈ ΡΡΡΠ΄Π½ΠΎΡΡΠ΅ΠΉ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΌΠ½ΠΎΠ³ΠΈΠ΅ ΡΠ»ΡΡΠ°ΠΈ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΌΠΎΠ³ΡΡ ΠΎΡΡΠ°ΡΡΡΡ Π½Π΅ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π½Π½ΡΠΌΠΈ, ΠΏΠ°ΡΠΈΠ΅Π½Ρ Π½Π΅ ΠΏΠΎΠ»ΡΡΠΈΡ ΡΡΠΈΠΎΡΡΠΎΠΏΠ½ΡΡ ΡΠ΅ΡΠ°ΠΏΠΈΡ, Π²ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅ ΡΠ΅Π³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΡΡΠ°Π½Π΅Ρ Π±ΠΎΠ»Π΅Π΅ Π·Π°ΡΡΠΆΠ½ΡΠΌ, Π° ΠΏΡΠΎΠ³Π½ΠΎΠ· ΡΡ
ΡΠ΄ΡΠΈΡΡΡ. ΠΠ°Π½Π½ΡΠΉ ΠΎΠ±Π·ΠΎΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ ΠΏΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°ΠΌ 62 ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ Π±Π΅Π· ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ Π³Π»ΡΠ±ΠΈΠ½Ρ ΠΏΠΎΠΈΡΠΊΠ°. Π Π½ΡΠΌ ΠΎΠΏΠΈΡΠ°Π½Ρ Π²Π°ΡΠΈΠ°Π½ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»Π΅Π·Π½ΠΈ Ρ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΈ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π΅ΡΠ²ΠΎΠ², ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΈ ΡΠΎΡΡΠ΄ΠΎΠ². ΠΠ°Π½Π° ΠΏΠΎΠ΄ΡΠΎΠ±Π½Π°Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° Π±ΠΎΠ»Π΅ΠΉ: Π³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΏΠΎΡΡΠ³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π΅Π²ΡΠ°Π»Π³ΠΈΠΉ. Π’Π°ΠΊΠΆΠ΅ Π² ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΌΠΎΡΠΎΠ½Π΅ΠΉΡΠΎΠ½ΠΎΠ² ΠΈ Π΄Π°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΈ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠ΄Π΅Π»ΡΠ½ΡΠΉ ΡΠ°Π·Π΄Π΅Π» ΠΏΠΎΡΠ²ΡΡΠ΅Π½ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΡΠΌ ΠΎΠΏΠΎΡΡΡΠ²Π°ΡΡΠ΅Π³ΠΎ Π³Π΅ΡΠΏΠ΅ΡΠ°. Π ΡΡΠΎΠΌ ΡΠ°Π·Π΄Π΅Π»Π΅ ΠΎΠΏΠΈΡΠ°Π½Ρ Π΄ΠΎΡΡΠΎΠΈΠ½ΡΡΠ²Π° ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π² ΡΠ΅Π°Π»ΡΠ½ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, ΡΠΊΠ°Π·Π°Π½Ρ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ Π΄Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ°ΡΠΊΠ΅ΡΡ ΡΡΠ±ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ°. Π Π°Π·Π΄Π΅Π» Β«ΠΠ΅ΡΠ΅Π½ΠΈΠ΅Β», Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ, ΠΏΠΎΡΠ²ΡΡΠ΅Π½ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌ ΡΡΠΈΠΎΡΡΠΎΠΏΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΏΡΠΈ ΡΠ°Π·Π½ΡΡ
ΡΠΎΡΠΌΠ°Ρ
Π±ΠΎΠ»Π΅Π·Π½ΠΈ (Ρ ΡΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΠ΅ΠΌΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ², ΠΈΡ
Π΄ΠΎΠ· ΠΈ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊΡΡΡΠ°). ΠΠ°ΠΊΠΎΠ½Π΅Ρ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΈΠΉ Π΄Π»Ρ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΏΡΠ΅Π΄ΠΌΠ΅Ρ ΡΠ΅Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ° ΠΎΠΏΠΎΡΡΡΠ²Π°ΡΡΠ΅Π³ΠΎ Π³Π΅ΡΠΏΠ΅ΡΠ°
ΠΡΠΎΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π² Π½Π΅ΠΎΠ½Π°ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅
The articleΒ presentsΒ an analysis of literature dataΒ on modernΒ protective regimensΒ for invasive respiratory supportΒ in premature newbornsΒ with respiratory distressΒ syndrome. We have considered positive and negativeΒ aspects of the used methodsΒ of invasive ventilation of the lungs, which are currently widely used as a methodΒ of respiratory therapyΒ in obstetric hospitalsΒ at any level, even in the categoryΒ of childrenΒ with extremely and very low birth weight. ModernΒ protective mechanical ventilation provides for 2 main directions for reducing ventilator-induced lung damage: a decrease in tidal volume (Vt) and the principleΒ of tolerableΒ (permissive) hypercapnia. The use of the technique of permissive hypercapnia and regimens with a target volume can reduce the likelihood of ventilator-induced lung injury in newborns. Despite the limited indications for mechanical ventilation in modern neonatology and the widespread use of non-invasive ventilation, for patients who really need mechanical ventilation, the use of volume-targeted regimens offers the best chance of reducingΒ ventilation complications.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π½Π΅Π΄ΠΎΠ½ΠΎΡΠ΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Ρ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠΌ Π΄ΠΈΡΡΡΠ΅ΡΡ-ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠΌ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΠΎΡΠΎΠ½Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
, ΠΊΠΎΡΠΎΡΡΠ΅ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π½Π°ΡΠ»ΠΈ ΡΠΈΡΠΎΠΊΠΎΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π² Π°ΠΊΡΡΠ΅ΡΡΠΊΠΈΡ
ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
Π»ΡΠ±ΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Ρ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π΄Π΅ΡΠ΅ΠΉ Ρ ΡΠΊΡΡΡΠ΅ΠΌΠ°Π»ΡΠ½ΠΎ ΠΈ ΠΎΡΠ΅Π½Ρ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΌΠ°ΡΡΠΎΠΉ ΡΠ΅Π»Π° ΠΏΡΠΈ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΈ. Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½Π°Ρ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠ²Π½Π°Ρ ΠΠΠ ΠΏΡΠ΅Π΄ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅Ρ Π΄Π²Π° ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΎΡ-ΠΈΠ½Π΄ΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ
: ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎΒ ΠΎΠ±ΡΠ΅ΠΌΠ° (Vt) ΠΈ ΠΏΡΠΈΠ½ΡΠΈΠΏΒ Π΄ΠΎΠΏΡΡΡΠΈΠΌΠΎΠΉΒ (ΠΏΠ΅ΡΠΌΠΈΡΡΠΈΠ²Π½ΠΎΠΉ) Π³ΠΈΠΏΠ΅ΡΠΊΠ°ΠΏΠ½ΠΈΠΈ. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈΒ ΠΏΠ΅ΡΠΌΠΈΡΡΠΈΠ²Π½ΠΎΠΉ Π³ΠΈΠΏΠ΅ΡΠΊΠ°ΠΏΠ½ΠΈΠΈ ΠΈ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² Ρ ΡΠ΅Π»Π΅Π²ΡΠΌ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅ΡΒ ΡΠ½ΠΈΠ·ΠΈΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΎΡ-ΠΈΠ½Π΄ΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ
Ρ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΈΠΉ ΠΊ ΠΠΠ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π½Π΅ΠΎΠ½Π°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΡΠΈΡΠΎΠΊΠΎΠΌΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π΅ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ, Π΄Π»Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½ΡΠΆΠ΄Π°ΡΡΠΈΡ
ΡΡ Π² ΠΠΠ, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² Ρ ΡΠ΅Π»Π΅Π²ΡΠΌ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ Π΄Π°Π΅Ρ Π»ΡΡΡΠΈΠ΅ ΡΠ°Π½ΡΡ Π½Π° ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ
ΠΠΎΡΠΌΠ°Π½ΡΠΊΠ°Ρ ΡΠ΅ΠΎΡΠΈΡ ΠΈ ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ
The authors analyze the question of the origin of Russian statehood in ancient times. The main goal of the research is to study economic and social state of Russia at the beginning of the VIth century. The authors conduct a detailed analysis of the Norman and anti-Norman theories. They conclude assessment of the degree of influence of each of the theories on the formation of Russia as a full-fledged state.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²ΠΎΠΏΡΠΎΡ Π·Π°ΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ. ΠΠ·ΡΡΠ°Π΅ΡΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Π ΡΡΠΈ Π² Π½Π°ΡΠ°Π»Π΅ VI Π². ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π½ΠΎΡΠΌΠ°Π½ΡΠΊΠΎΠΉ ΠΈ Π°Π½ΡΠΈΠ½ΠΎΡΠΌΠ°Π½ΡΠΊΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΉ. ΠΠ°Π΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΈΠ· ΡΠ΅ΠΎΡΠΈΠΉ Π½Π° Π΄Π°Π»ΡΠ½Π΅ΠΉΡΡΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π ΡΡΠΈ ΠΊΠ°ΠΊ ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½ΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π°