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.
Results
Showing 1 to 11 of 11 for “"Multimodal Sensor"”.
-
Predicting hand grasping orientation for prosthetic hand control using multimodal sensor data (EEG, EMG, and IMU) with machine learning approach
… framework that amalgamates inputs from multiple sensors. This includes electroencephalography (EEG) to discern user intentions, electromyography (EMG) to evaluate muscle activity, and inertial measurement units (IMU) to track features of hand movement. By harmoniously integrating these varied …
-
Multimodal Soft Sensor Design through Single-Material Information Structuring
… general-purpose robots, we require soft sensors which replicate these essential properties without sacrificing robustness, longevity, or straightforward fabrication. This thesis proposes a design framework in which multimodal soft sensors are considered as information-generating systems, …
-
Beyond the lens : communicating context through sensing, video, and visualization
Responding to rapid growth in sensor network deployments that outpaces research efforts to understand or relate the new data streams, this thesis presents a collection of interfaces to sensor network data that encourage open-ended browsing while emphasizing saliency of representation. These …
-
Soft Electronics and Sensors for Wearable Healthcare Applications
… of low-cost, high sensitivity and reliable sensors for wearable health monitoring applications.</p><p>More specifically, we have studied the silver nanoparticles (AgNPs) inkjet-printed on a polydimethylsiloxane (PDMS) substrate that offers great pressure sensitivity for aterial pulse …
-
Structured model learning for adaptive robot generalists
… environments requires integrating diverse sensory modalities, long-horizon reasoning, and learning from heterogeneous data sources. Traditional monolithic learning approaches remain brittle, lack modularity, and struggle to generalize across tasks, embodiments, and sensing configurations. …
-
Inferring Complex Activities for Context-aware Systems within Smart Environments
… The second study takes the segmented set of sensor data to investigate and recognise human ADLs at multi-granular action level; coarse- and fine-grained action level. At the coarse-grained actions level, semantic relationships between the sensor, object and ADLs are deduced, whereas, at …
-
Big data toward vehicle health monitoring system: an engine health perspective
The rapid growth of connected and sensor rich vehicles has produced unprecedented volumes of engine telemetry, posing critical challenges for traditional vehicle health monitoring system (VHMS). Existing systems struggle with high volume, high velocity, and heterogeneous data streams, limiting …
-
A Multi-head Attention Approach with Complementary Multimodal Fusion for Vehicle Detection
… the development of an improved version of the Multimodal Vehicle Detection Network (MVDNet), distinguished by the integration of a multi-head attention layer. This key enhancement significantly refines the network's capability to process and integrate multimodal sensor data, an aspect that …
-
Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications.
… at longer distances. Traditional electrical sensors operate less effectively under these extreme environmental conditions and are susceptible to electromagnetic interference (EMI). Compared to electrical sensors, fibre optic sensors offer several advantages like immunity to EMI, electrical …
-
Stretchable, multimodal, large-area sensor arrays fabricated using excimer laser photoablation technologies
Stretchable, multimodal, large-area sensor arrays can be utilized for many applications such as structural health monitoring of vehicles and infrastructure, tactile feedback for robotics, aerospace research and design, electronic textiles, tactile sensors for flexible displays, and low-cost sensors …