PDF | In this paper, we propose a people counting algorithm using an impulse radio ultra-wideband (IR-UWB) radar sensor. The proposed algorithm is based... | Find, read and cite all the research you need on ResearchGate

The outbreak of COVID-19 has resulted in many different policies being adopted across the world to reduce the spread of the virus. These policies include wearing surgical masks, hand hygiene practices, increased social distancing and full country-wide lockdown. Specifically, social distancing involv …

Request PDF | Compact, Dual-Polarized UWB-Antenna, Embedded in a Dielectric | A compact dual-polarized antenna is described for ultrawideband (UWB) applications. The main features of the antenna, besides an... | Find, read and cite all the research you need on ResearchGate

With news reports suggesting Tesla is looking at using ultra-wideband (UWB) technology to enable unlocking of its cars, plus expected tracker tags from

The last I remember of ultra-wideband (UWB) technology was a few years back when Tzero Technologies followed fellow UWB champions WiQuest and Focus En...

Today the US Patent & Trademark Office published a patent application from Apple that relates to a "Modular Wall Unit System." It's a vastly grander vision for Apple's next-gen Smart Home project – and well beyond a simple mesh network.

Since the iPhone 11 announcement, theories have abounded that Apple’s new U1 wireless chip is actually a Decawave Ultra Wideband DW1000. But it turns out the iPhone’s ultra wideband chip is Apple’s own design, and they have some exciting plans for it.

Imec has developed a impulse-radio UWM transmitter IC measuring 0.155mm², with a power consumption of less than 10 milliwatt (mW), fabbed in 28nm CMOS.

At the recent ISSCC conference, imec presented a fast and low-power UWB transmitter chip and a low-power flexible MPU.

Learn more about UWB technology & how it is powering more precise, quick & reliable indoor positioning & asset tracking experiences than ever before.

Thanks to Estimote Indoor Location you can easily map indoor spaces and locate people and objects. Learn more about Estimote Indoor Location in another article. Estimote Automapping is our recent u...

The invention discloses a kind of self-positioning intelligent domestic energy information sockets merged based on UWB with PLC, belong to electric power internet of things field, the self-positioning intelligent domestic energy information socket includes shell, it include integrated treatment simplified element module in shell, power line carrier wave information processing module, ultra-wideband impulse radio message processing module, multidirectional antenna element, AC power source input interface, AC power source output interface, DC power supply unit and data information interface, the self-positioning intelligent domestic energy information socket greatly improves current home intelligent electric power utilization system in communication reliability, network visibility, short slab in terms of system availability and Technical Economy, it effectively solves low pressure level electric power Internet of Things and promotes and applies difficulties, it is obviously improved the utilization efficiency of energy information associated terminal and data, efficiency of transmission, management effect Rate and reliability.

Devices equipped with the Apple-designed Ultra Wideband chip have technology for spatial awareness. Learn which iPhone models and which countries or regions support Ultra Wideband.

Locate and interact with nearby devices using identifiers, distance, and direction.

The Nearby Interaction framework makes it easy to integrate Ultra Wideband (UWB) in your apps and hardware accessories.

Some embodiments include a system, method, and computer program product for managing the Ultra Wideband (UWB) systems, especially when the UWB system is collocated with another wireless system (e.g., WiFi) to transmit and/or receive UWB signals with an occupied bandwidth (OBW) that satisfies a UWB OBW standard (e.g., a UWB OBW>=500 MHz.) In some embodiments a TailBit signal (e.g., a periodic signal at a selected frequency) is added to a UWB packet to generate frequency components at the selected frequency that enables the power spectrum of the TailBit UWB signal to satisfy the UWB OBW standard. In some embodiments an altered code sequence is used to generate an altered spread signal, where the altered code sequence reduces or removes a frequency component peak near DC frequency of the power spectrum of an altered UWB signal, resulting in altered UWB OBW that satisfies the UWB OBW standard.

This invention generally relates to ultra wideband (UWB) communication, and in particular to methods and apparatus for enabling such communicationWC 1 through a building, comprising generating a UWB signal and coupling the UWB signal to at least one electrical conductor of a mains power supply circuit of the building to distribute the UWB signal. This facilitates implementation of a UWB network with reduced interference. AlterWC 1native building wiring systems may be employed such as Cat 5 for computer networking or onWC 1e or two conducters of a telephone cable. The coupling may be direct or contactless such as capacitative coupling.

The article is dicussing the vibration mesurement possibilities and the translation from acceleration to velocity.

Detect anomalies in industrial-machine vibration data using machine learning and deep learning.

ETSI Ultra Wide Band technology page

COPD is a progressive disease that may lead to death if not diagnosed and treated at an early stage. The examination of vital signs such as respiration rate is a promising approach for the detection of COPD. However, simultaneous consideration of the demographic and medical characteristics of patients is very important for better results. The objective of this research is to investigate the capability of UWB radar as a non-invasive approach to discriminate COPD patients from healthy subjects. The non-invasive approach is beneficial in pandemics such as the ongoing COVID-19 pandemic, where a safe distance between people needs to be maintained. The raw data are collected in a real environment (a hospital) non-invasively from a distance of 1.5 m. Respiration data are then extracted from the collected raw data using signal processing techniques. It was observed that the respiration rate of COPD patients alone is not enough for COPD patient detection. However, incorporating additional features such as age, gender, and smoking history with the respiration rate lead to robust performance. Different machine-learning classifiers, including Naïve Bayes, support vector machine, random forest, k nearest neighbor (KNN), Adaboost, and two deep-learning models—a convolutional neural network and a long short-term memory (LSTM) network—were utilized for COPD detection. Experimental results indicate that LSTM outperforms all employed models and obtained 93% accuracy. Performance comparison with existing studies corroborates the superior performance of the proposed approach.