Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Activity Detection"”.
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Hilbert phase methods for glottal activity detection
… until converged, yields a 99.6% accurate detection system with a false alarm rate of 0.17%. This simpler algorithm, named Glottal Activity Detector For Laryngeal Input (GADFLI), outperforms the state-of-the-art SIGMA algorithm for GCI detection, which has a 94.2% detection rate, but a …
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Adversarial Activity Detection and Prediction Using Behavioral Biometrics
… and propose novel methods for near-future activity prediction.</p><p>First, we study gait signals captured using smartphone accelerometer sensor and build a model to predict a future gait signal. Activity recognition using body movements captured from mobile phone sensors has been a major …
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An activity detection system for frequency-encoded pixels
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Neural Voice Activity Detection and its practical use
The task of producing a Voice Activity Detector (VAD) that is robust in the presence of non-stationary background noise has been an active area of research for several decades. Historically, many of the proposed VAD models have been highly heuristic in nature. More recently, however, statistical …
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Solar activity detection and prediction using image processing and machine learning techniques
… is to develop the methods for automatic detection and prediction of solar activities, including prominence eruptions, emerging flux regions and solar flares. Image processing and machine learning techniques are applied in this study. These methods can be used for automatic observation of …
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A system for real-time gesture recognition and classification of coordinated motion
… real-time gesture recognition and coordinated activity detection. Analysis is presented that shows that the data streams captured can be readily processed to detect gestures and coordinated activity. Finally, some pertinent research that can be pursued with these nodes in the areas of biomotion …
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Surface myoelectric signal analysis and enhancement for improved prosthesis control
… control. Specifically, algorithms for activity detection, noise identification and noise reduction are introduced, evaluated and discussed. The ultimate aim has been to develop algorithms to improve the performance of prosthetic control systems that use myoelectric signals. Such systems …
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Mining the relation and implication of user generated content in social media
… similarity. Second, we proposed a GAD (General Activity Detection) framework to fully explore the power of activity detection for clustering, which can be used to partition similar content objects into groups. The algorithms (both exact and approximate) developed within this framework can …
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Spatiotemporal Event Graphs for Dynamic Scene Understanding
… scene understanding starting from road event detection from an autonomous driving perspective to complex video activity detection, followed by continual learning approaches for the life-long learning of the models. Firstly, we introduce the ROad event Awareness Dataset (ROAD) for Autonomous …
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Activity Recognition using Singular Value Decomposition
… of a wearable system to record context such as activity recognition is influenced by a combination of variables. A flexible yet systematic approach for building a software classification environment according to a set of variables is described. The integral part of the software design is the use …
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Analysis of Wireless Networks With Massive Connectivity
… second part of the thesis, we focus on the joint activity detection and channel estimation in cell-free massive MIMO systems with massive connectivity. At first, we conduct an asymptotic analysis of single measurement vector (SMV) based minimum mean square error (MMSE) estimation in cell-free …
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Deep Transferable Intelligence for Wearable Big Data Pattern Detection
… among which we take special interest in Physical Activity Detection (PAD). In this study, we have performed extensive research on deep learning-based PAD from biomechanical big data, focusing on the challenges raised by the need for real-time edge inference. First, considering there are many …
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Designing Intelligent Energy Efficient Scheduling Algorithm To Support Massive IoT Communication In LoRa Networks
… policy gradient algorithm with channel activity detection (CAD) to optimize the energy efficiency of LoRaWAN in cross-layer architecture in massive IoT with star topology. We also design a CAD-based simulator for evaluating any algorithms with channel sensing. We compare energy …
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Development of a human fall detection system based on depth maps
… as disable, overweight. Among them, human fall detection systems play an important role in our daily life, because fall is the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. The three basic approaches used to develop human …
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Semantic interpretation of events in lifelogging
… is appropriate to the wearer, applying automatic detection of concepts to these events and then semantically enriching each of the detected lifelog events making them an index into the events. Once this enrichment is complete we can use the lifelog to support semantic search for everyday media …
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Speech enhancement using multisensory cooperative computing
… modes, by suppressing redundant synaptic activity. MCC establishes a paradigm for energy-efficient, high-capacity neuromorphic computing suited to real-time audio-visual learning. Second, to address AVSE on resource-constrained edge devices and the challenges of real-world noise, a novel …
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Computer vision for railroad track inspection
… a signal-processing based method for periodic activity detection and segmentation that utilizes a unified spatial-frequency approach. The spectral estimation technique that we used requires a one-dimensional signal as input. In images and video, one-dimensional signals are created. We …
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Visual attention models for far-field scene analysis
… We apply this concept to the domain of far-field activity analysis by addressing the problem of determining where to look in a scene in order to capture interesting activity in progress. We pose the problem of attention as an unsupervised learning problem, in which the task is to learn from …
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Parkinsonian Speech and Voice Quality: Assessment and Improvement
… SNR, a throat accelerometer for reliable voice activity detection, and visual/auditory alarms when the produced speech was below a certain threshold. Performance evaluation of this device in noisy environments demonstrated significant improvements in speech SNR, perceived intelligibility, and …
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Planetary navigation activity recognition using wearable accelerometer data
Activity recognition can be an important part of human health awareness. Many benefits can be generated from the recognition results, including knowledge of activity intensity as it relates to wellness over time. Various activity-recognition techniques have been presented in the literature, though …
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