Hand tracking and gesture recognition using lensless smart sensors
The Lensless Smart Sensor (LSS) developed by Rambus, Inc. is a low-power, low-cost
visual sensing technology that captures information-rich optical data in a tiny form factor …
visual sensing technology that captures information-rich optical data in a tiny form factor …
Multimodal sensor fusion for low-power wearable human motion tracking systems in sports applications
This paper presents a prototype human motion tracking system for wearable sports
applications. It can be particularly applicable for tracking human motion during executing …
applications. It can be particularly applicable for tracking human motion during executing …
Task-independent eeg identification via low-rank matrix decomposition
With advantages of high concealment, non-stealing, and liveness detection,
electroencephalography (EEG) identification has a broad application prospect in the fields …
electroencephalography (EEG) identification has a broad application prospect in the fields …
Unobtrusive driver drowsiness prediction using driving behavior from vehicular sensors
O Dehzangi, S Masilamani - 2018 24th International …, 2018 - ieeexplore.ieee.org
Falling asleep is an eventual result of drowsiness, while driving it might also be a cause of
major disasters. Driver's oblivious attempt of driving a vehicle when they are drowsy will lead …
major disasters. Driver's oblivious attempt of driving a vehicle when they are drowsy will lead …
Point tracking with lensless smart sensors
This paper presents the applicability of a novel Lensless Smart Sensor (LSS) developed by
Rambus, Inc. in 3D positioning and tracking. The unique diffraction pattern attached to the …
Rambus, Inc. in 3D positioning and tracking. The unique diffraction pattern attached to the …
Reference point estimation technique for direct validation of subpixel point detection algorithms for Internet of Things
Subpixel point detection algorithms are important in many application spaces, especially
those where limitations of the imaging device's resolution need to be overcome. Such …
those where limitations of the imaging device's resolution need to be overcome. Such …
Miniaturized Low-Power Wearable System for Human Motion Tacking Incorporating Monocular Camera and Inertial Sensor Data Fusion for Health Applications
Human motion tracking systems play an important role in many application spaces where
the 3D pose of the body, or its parts, need to be tracked over time, eg fitness, rehabilitation …
the 3D pose of the body, or its parts, need to be tracked over time, eg fitness, rehabilitation …
[PDF][PDF] Multimodal sensor fusion for low-power wearable human motion
This paper presents a prototype human motion tracking system for wearable sports
applications. It can be particularly applicable for tracking human motion during executing …
applications. It can be particularly applicable for tracking human motion during executing …
Data fusion for human motion tracking with multimodal sensing
MP Wilk - 2020 - cora.ucc.ie
Multimodal sensor fusion is a common approach in the design of many motion tracking
systems. It is based on using more than one sensor modality to measure different aspects of …
systems. It is based on using more than one sensor modality to measure different aspects of …