Accelerometer-based Activity Recognition: Reengineering Study
نویسندگان
چکیده
منابع مشابه
Improving Accelerometer Based Activity Recognition
This paper presents the findings of a research on how to improve activity recognition from data captured with chest mounted accelerometer. Several methods were applied to achieve this purpose, including: simple smoothing technique, hidden Markov models (HMM), extraction of frequency domain features, principal component analysis (PCA) and dynamic time warping (DTW). The paper describes each of t...
متن کاملActivity Recognition Using, Smartphone Based, Accelerometer Sensors
Página II (b) Ramo do Conhecimento: Data Mining I was born in Madeira in 1986 having lived there until 2004 when I moved to Porto to study economics and then Data Mining in the Faculty of Economics of Porto (FEP). In Madeira I took part of several groups connected to outdoor activities: member of the first paintball team in Madeira, member of MadeiraEcoChallenges: a group created to organize ec...
متن کاملActivity Recognition from Accelerometer Data
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classification problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
متن کاملEnhancing Accelerometer-Based Activity Recognition with Capacitive Proximity Sensing
Activity recognition with a wearable accelerometer is a common investigated research topic and enables the detection of basic activities like sitting, walking or standing. Recent work in this area adds different sensing modalities to the inertial data to collect more information of the user’s environment to boost activity recognition for more challenging activities. This work presents a sensor ...
متن کاملImproving Accelerometer-Based Activity Recognition by Using Ensemble of Classifiers
In line with the increasing use of sensors and health application, there are huge efforts on processing of collected data to extract valuable information such as accelerometer data. This study will propose activity recognition model aim to detect the activities by employing ensemble of classifiers techniques using the Wireless Sensor Data Mining (WISDM). The model will recognize six activities ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019919166