.png){kind=icon}
返回
Context-Aware Winter Sports Based on Multivariate Sequence Learning
.png){kind=icon}
OA
AI
DOI：10.3390/s19153296.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we present an intelligent system that is capable of estimating the status of a player engaging in winter activities based on the sequence analysis of multivariate time-series sensor signals. Among the winter activities, this paper mainly focuses on downhill winter sports such as alpine skiing and snowboarding. Assuming that the mechanical vibrations generated by physical interaction between the ground surface and ski/snowboard in motion can describe the ground conditions and playing contexts, we utilize inertial and vibration signals to categorize the motion context. For example, the proposed system estimates whether the player is sitting on a ski lift or standing on the escalator, or skiing on wet or snowy ground, etc. To measure the movement of a player during a game or on the move, we develop a custom embedded system comprising a motion sensor and piezo transducer. The captured multivariate sequence signals are then trained in a supervised fashion. We adopt artificial neural network approaches (e.g., 1D convolutional neural network, and gated recurrent neural networks, such as long short-term memory and gated recurrent units). The experimental results validate the feasibility of the proposed approach.
Keyword:
deep learning
motion context
multivariate signals
recurrent neural network
sequence model
sequence model
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Machine Learning Modeling Techniques for Forecasting the Trophic Level in a Restored South Mediterranean Lagoon Using Chlorophyll-a.png)
Wetlands
OAAI
WetlandsIF0
OAAI分享收藏Expansion of Smartwatch Touch Interface from Touchscreen to Around Device Interface Using Infrared Line Image SensorsSENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Potential of IMU Sensors in Performance Analysis of Professional Alpine SkiersIMU传感器在专业高山滑雪运动员性能分析中的潜力SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Convolutional neural network for earthquake detection and location用于地震检测与定位的卷积神经网络SCIENCE ADVANCESOAAI
SCIENCE ADVANCESIF12.5
OAAI分享收藏
查看更多内容