调研方向(算法相关)
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来源1
:A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
都是基于加速度的,所以参考价值在算法本身上,解决的具体问题与自身课题有距离。
KNN
Detection of posture and motion by accelerometry: A validation study in ambulatory monitoring(1999)
Validity and reliability of measurements obtained with an activity monitor” in people with and without a transtibial amputation(1998)
SVM
Support vector machine for classification of walking conditions of persons after stroke with dropped foot(2009)
Fall detection by wearable sensor and one-class SVM algorithm(2006)
Naive Bayers
Towards less supervision in activity recognition from wearable sensors(2006)
Single-accelerometer-based daily physical activity classification(2009)
GMM
Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models(2006)
HMM
Machine learning methods for classifying human physical activity from On-Body Accelerometers(2010)
Development of novel techniques to classify physical activity mode using accelerometers(2006)
来源2:
直接调研算法
GMM
HMM,条件随机场,贝叶斯网络
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