4 papers
Guided Layer-wise Learning for Deep Models using Side Information
Pavel Sulimov, Elena Sukmanova, Roman Chereshnev +1
Training of deep models for classification tasks is hindered by local minima problems and vanishing gradients, while unsupervised layer-wise pretraining does not exploit informatio…
RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors
Roman Chereshnev, Attila Kertesz-Farkas
Recent human activity recognition (HAR) methods, based on on-body inertial sensors, have achieved increasing performance; however, this is at the expense of longer CPU calculations…
Lookup Lateration: Mapping of Received Signal Strength to Position for Geo-Localization in Outdoor Urban Areas
Andrey Shestakov, Danila Doroshin, Dmitri Shmelkin +1
The accurate geo-localization of mobile devices based upon received signal strength (RSS) in an urban area is hindered by obstacles in the signal propagation path. Current localiza…
HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks
Roman Chereshnev, Attila Kertesz-Farkas
This paper presents a human gait data collection for analysis and activity recognition consisting of continues recordings of combined activities, such as walking, running, taking s…