Unobtrusive human activity classification through device-
Improving human activity classification through online semi-supervised learning
... used for testing and Semi-Supervised training must come from a single user. As such, it would be important to have recordings for each individual longer than 15 minutes. The dataset was also recorded using a waist belt, ...
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Activity classification through hidden Markov modeling
... 1.2.1 Prior research Over the past decade Roessingh Research and Development [26] (henceforth RRD) has been working on both ambulatory sensing solutions and activity classification. The work on ambulatory ...
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Hierarchical Classification on Multimodal Sensing for Human Activity Recogintion and Fall Detection
... hierarchical classification for human activities discrimination and fall detection in the context of assisted ...wearable device and a radar ...
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Review on Recognition of Human Activity through Smartphone Built In Sensors
... on human activity recognition using the smartphone sensors are ...offline activity recognition which have done classification locally on mobile phone itself or at some desktop machine ...of ...
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A Study on Human Fall Detection Systems: Daily Activity Classification and Sensing Techniques
... Falls can be categorized into different types depending on the characteristics of the movements that lead to the fall. It is important to recognize these characteristics of the movement in order to understand the ...
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Continuous human activity classification from FMCW radar with Bi-LSTM networks
... remote activity monitoring, classification, LSTM and Bi-LSTM ...short-range human mon- itoring are becoming increasingly popular, specifically in applications such as activities classification ...
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A machine learning framework for automatic human activity classification from wearable sensors
... Overall the worst performing classifier was the support vector machine (SVMs). Hsu et al. in [140] explains that the main disadvantages of SVMs is that they require several steps before an acceptable ...
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RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization
... obtained by using the Gaussian kernel. Gaussian kernel was the best with around 100.0% for training, 94.0% for CV, and 96.0% for testing the given feature vectors. The error rate of the Gaussian kernel was lower than ...
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Unobtrusive sensing using WiFi signals
... each device with a different purpose comes with a new hardware and thus indulges additive ...a device-free low-cost activity recognition system as it is easily available in offices and homes now a ...
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Radio Based Device Activity Recognition
... and classification accuracy of ninety four across 9 whole-body gestures (push, dodge, strike, pull, drag, kick, circle, punch and ...trace human queues eating place and an ...
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Human Activity Recognition through Accelerometer Sensor Using Data Mining
... maintain human body in good health which requires correct human calorie intake and calorie ...various activity during the day, each activity performed burns different amount of calories ...
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An Ensemble of Condition Based Classifiers for Device Independent Detailed Human Activity Recognition Using Smartphones
... Several classification algorithms are considered for this experiment that are applied on the selected feature set extracted from the training and test ...a device is kept at SPT for training, and test data ...
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Human localization and activity classification by machine learning on Wi-Fi channel state information
... 3.2 CSI data 3.2.1 Multipath interference As mentioned in Introduction, one of the methods to achieve environment agnostic classifier operation is to manually remove environment-specific information from recorded CSI ...
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Automatic Detection of Human Interactions from RGB-D Data for Social Activity Classification
... and through the formation of specific topologies between the interacting agents [4]. These theories have been already exploited for detection of conversational groups on still images. The authors in [13], [14] ...
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Unobtrusive Sensing and Wearable Device for Soldiers using WNS
... III. W ORKING PRINCIPLE In this a soldier tracking system using GSM module, Unobtrusive sensor and GPS to provide wireless system for monitoring the Body temperature & Blood pressure is designed. To find the ...
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Human Activity Recognition and Classification - A Comprehensive Survey
... a Human action recognition is currently one of the hottest areas in pattern recognition and machine ...and human computer interaction to automated surveillance and assistive ...the classification of ...
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Medical Device Classification
... • Not an active device • No special rules apply • Class I by Rule 1.. Classification Example #2[r] ...
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Towards Online and Personalized Daily Activity Recognition, Habit Modeling, and Anomaly Detection for the Solitary Elderly Through Unobtrusive Sensing
... same activity in different ways, it is a challenge to build robust classifiers suitable for detecting the activities of all users, e- specially for the task of abnormal behavior ...online activity ...
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Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining
... Before collecting BCG signal, we instructed each subject about how to use the RS-611 properly. In addition, the day before the experiment they were asked to sleep on the bed for about one hour for the sake of gathering ...
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Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition
... each activity took place, (ii) the type of activity performed, and (iii) the location of each ...cluster-based activity recognition and classification with an average regression co-efficient ...
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