Skip to main content

Gesture Recognition with Lensless Sensors

Rambus lensless sensor partners keep working on the applications for the small and cheap sensor. MPDI paper "Hand Tracking and Gesture Recognition Using Lensless Smart Sensors" by Lizy Abraham, Andrea Urru, Niccolò Normani, Mariusz P. Wilk, Michael Walsh, and Brendan O’Flynn from Cork University, Irland,

"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 using a novel approach to optical sensing. The spiral gratings of LSS diffractive grating, coupled with sophisticated computational algorithms, allow point tracking down to millimeter-level accuracy. This work is focused on developing novel algorithms for the detection of multiple points and thereby enabling hand tracking and gesture recognition using the LSS. The algorithms are formulated based on geometrical and mathematical constraints around the placement of infrared light-emitting diodes (LEDs) on the hand. The developed techniques dynamically adapt the recognition and orientation of the hand and associated gestures. A detailed accuracy analysis for both hand tracking and gesture classification as a function of LED positions is conducted to validate the performance of the system. Our results indicate that the technology is a promising approach, as the current state-of-the-art focuses on human motion tracking that requires highly complex and expensive systems. A wearable, low-power, low-cost system could make a significant impact in this field, as it does not require complex hardware or additional sensors on the tracked segments."

Comments

Popular posts from this blog

Film-Based Light Sensing Review

University of Toronto repo publishes a Nature paper from January 2017 "Solution-processed semiconductors for next-generation photodetectors" by F. Pelayo GarcĂ­a de Arquer, Ardalan Armin, Paul Meredith, and Edward H. Sargent. " Efficient light detection is central to modern science and technology. Current photodetectors mainly use photodiodes based on crystalline inorganic elemental semiconductors, such as silicon, or compounds such as III–V semiconductors. Photodetectors made of solution-processed semiconductors — which include organic materials, metal-halide perovskites and quantum dots — have recently emerged as candidates for next-generation light sensing. They combine ease of processing, tailorable optoelectronic properties, facile integration with complementary metal–oxide–semiconductors, compatibility with flexible substrates and good performance. Here, we review the recent advances and the open challenges in the field of solution-processed photodetectors, examin...

Synaptics Under-Display Fingerprint Scanner Reverse Engineering

SystemPlus Consulting publishes a reverse engineering report of Synaptics’ under-display fingerprint scanner found inside the VIVO X21 UD Smartphone: " This scanner uses optical fingerprint technology that allows integration under the display. With a stainless steel support and two flexible printed circuit layers, the Synaptics fingerprint sensor’s dimensions are 6.46 mm x 9.09 mm, with an application specific integrated circuit (ASIC) driver in the flex module. This image sensor is also assembled with a glass substrate where filters are deposited. The sensor has a resolution of 30,625 pixels, with a pixel density of 777ppi. The module’s light source is providing by the OLED display glasses. The fingerprint module uses a collimator layer corresponding to the layers directly deposited on the die sensor and composed of organic, metallic and silicon layers. This only allows light rays reflected at normal incidence to the collimator filter layer to pass through and reach the optical ...

Review of Ion Implantation Technology for Image Sensors

MDPI Sensor publishes " A Review of Ion Implantation Technology for Image Sensors " by Nobukazu Teranishi, Genshu Fuse, and Michiro Sugitani from Shizuoka and Hyogo Universities and Sumitomo. " Image sensors are so sensitive to metal contamination that they can detect even one metal atom per pixel. To reduce the metal contamination, the plasma shower using RF (radio frequency) plasma generation is a representative example. The electrostatic angular energy filter after the mass analyzing magnet is a highly effective method to remove energetic metal contamination. The protection layer on the silicon is needed to protect the silicon wafer against the physisorbed metals. The thickness of the protection layer should be determined by considering the knock-on depth. The damage by ion implantation also causes blemishes. It becomes larger in the following conditions if the other conditions are the same; a. higher energy; b. larger dose; c. smaller beam size (higher beam current d...