#data collection and analysis

[salisburyautisticcarerealestate]

Salisbury Autistic Care - The Sensory Haven Future Homes for Autistic People

Salisbury Autistic Care: Creating Inclusive Communities for Individuals on the Autism Spectrum is putting its best foot forward by designing homes best suited for autistic individuals. Efforts are made to provide an environment where those on the autism spectrum can thrive and feel at ease.

In this discussion, we'll explore how Salisbury's real estate sector is designing homes with the latest innovations that prioritize the safety concerns of these individuals.

Let's discover together how the latest innovative homes are reshaping the landscape of inclusive living.

Smart Home Technology: Real estate is focusing on installing homes with smart home devices that can be controlled remotely or automated to perform tasks autonomously. It includes devices like voice-activated assistants (like Amazon Alexa or Google Home), smart thermostats, lighting systems, and security cameras that can greatly improve the autonomy and comfort of individuals with autism. These technologies can be programmed to adjust environmental factors according to the individual's preferences, providing a sense of control and reducing sensory overload.

Communication Apps and Devices: Many autistic people face trouble in communication. However, integrating communication apps and devices within the property can facilitate effective communication. It will help them by assisting in conveying their message to their caregivers. These may include augmentative and alternative communication (AAC) apps, picture exchange communication systems (PECS), or specialized devices that support speech output.

Safety and Monitoring Solutions: Autistic individuals are not much aware of their safety in the surrounding environment. As a result, they may unintentionally engage in behaviors that could put their well-being at risk. Technology can play a crucial role in ensuring their safety. GPS tracking devices, door alarms, and wearable sensors can alert caregivers if a resident leaves the property or enters restricted areas, allowing for timely intervention. Additionally, smart locks and security systems can enhance overall safety within the property.

Sensory Regulation Tools: Many individuals with autism are sensitive to sensory stimuli. The real estate must focus on designing calming sensory rooms with soft lighting, comfortable seating, tactile objects, soothing music or sounds, and visual projections. Interactive projections or immersive virtual reality experiences can provide engaging and customizable sensory experiences, allowing individuals with autism to explore different sensory inputs in a controlled and therapeutic environment.

Data Collection and Analysis: Homes installed with smart sensors can help in tracking daily behavior patterns like sleep patterns, activity levels, or emotional states, providing valuable insights about the individual. This information can be used to create personalized care plans and interventions.

Educational and Therapeutic Resources: Integrating educational and therapeutic resources within autism care properties empowers residents to engage in meaningful activities and skill-building exercises that support their development and enhance their quality of life. Smart home technology helps them to have access to educational and therapeutic sessions that promote learning, growth, and self-confidence for individuals with autism.

Conclusion

Through these advancements, Salisbury Autistic Care — Most Desirable Areas to Live in is not only addressing the unique needs and challenges faced by autistic individuals but also trying to create surroundings where they can feel safe and comfortable. By prioritizing safety, communication, sensory comfort, and personalized support, these homes are reshaping the landscape of inclusive living and setting a new standard for the integration of technology and compassion in real estate development.

[algos11]

Algo trading, short for algorithmic trading, is a revolutionary approach to financial markets that leverages computer algorithms to execute trading strategies.

[redkehlchen]

Sketched out the final part of the growth spurt comic!

Already made up my mind, but out of curiosity. What do you think: Who will end up being the shortest turtle? :)

[anna-scribbles]

will you make a poll for most slay and ugly senti designs. i really think guiltrip deserves to be honored somehow. perhaps an honorable mention if reflekta wins either category.

LOVE the way you’re thinking. honestly this process has made me desperate to know the ml fandom’s opinions on everything

[antlerknives]

currently working on the early stages (ie. user research) of a spotify user interface redesign as a personal portfolio project and i am ridiculously excited about it

[lesbianslovebts]

My Excel knowledge has grown so much in the past 2 months of working at my new job, so I am planning to revamp my Pokémon card spreadsheet. I'm going to start during the long weekend coming up. I am going to make pivot tables and chart up the wazoo. I am going to organize, analyze, and report. You ask me any question about my collection, and I will give you the answer. You wanna know how many stage 2 psychic Pokémon cards I have that are less than 5 years old? I'll tell you. You want a list of trainer item cards that start with the letter D? You got it. You want to know what percentage of basic energy cards are water type? You need only ask.

[poetriarchy]

it’s crazy like actually insane that i can’t find historical demographic analyses of childlessness rates among women of any time period before the 1800s. that seems like it should be such a interesting illustrative statistic in and of itself but also as an indicator of broader social/economic/religious/political/environmental conditions. it’s a statistic that establishes something entirely distinct from what you get out of an average birth rate...

OK NVM post kind of cancelled i'm finding a couple articles. but nothing that's really what i'm looking for/what i'd be wanting answers to. w/e do i sound insane/is this already obvious

[briwates]

I dont want to do this dissertation crap anymore actually

[weak-hero]

staff saw “multiverse“ trending with the rise of eeaao and spider-verse so they decided add a silly graph that will engage w your sensory needs

[insighttellers]

Precision Insights: Expert Quantitative Market Research Services

Our Quantitative Market Research Services help you quickly gather insights from our panellists and understand the changing consumer behaviour. Using our comprehensive services, we find the answers to the most of your questions! Follow this link to know more https://insighttellers.com/services/quantitative-research-market

[medsocionwheels]

Exploratory Analysis of Google Search Trends for 'microclots' from 2015-2023: Part 1

Tracking a reported increase in Google searches for "microclots", part 1 of an exploratory analysis of public interest in COVID-19 over time

Tweet about this Analysis Tracking #Covid19: #Google searches for #microclots were up 23% for the last week of April 2023 👀 Interested? Learn more in this brief #article by Dr. Heather Sue M. Rosen discussing part 1 of her #ExploratoryAnalysis of search trends for microclots! #TeamClotsTweet View the Analysis on RPubs Take me to RPubs by hsuemrosen Submit Content for Feature on…

[aropride]

man i can't wait to be back in school i have too much time on my hands

[prozach27]

.

[angelfrommontgomery]

Clocking in at 4200 words and 30 pages with figures and formatting stuff…….but really all that is done is the introduction and part I, which to be fair is the beefiest parts bc they have the most data and the most references and the most complicated method and discussion. Tomorrow I need to verify my math, rerun some simulations, look at the results, and then lock in and finish this. We are entering approximately 48 hours til it’s due but there’s a tiny bit of wiggle room………. I believe it can get finished . Presentation isn’t until a week from Wednesday so I’m taking a couple days off thesis stuff then making that. I also need to submit an embargo request cuz I don’t actually know who has the rights to all this data LOL. Mostly I’m just worried about journals requiring first dibs and not wanting it to be released anywhere else first bc some do that and we are trying to publish part I.

[jcmarchi]

Alex Ovcharov, Founder & CEO of Wayvee Analytics – Interview Series

New Post has been published on https://thedigitalinsider.com/alex-ovcharov-founder-ceo-of-wayvee-analytics-interview-series/

Alex Ovcharov, Founder & CEO of Wayvee Analytics – Interview Series

Alex Ovcharov is the founder and CEO of Wayvee Analytics, a real-time customer satisfaction and engagement monitoring solution for retail, and the co-founder of Sensemitter. He has extensive experience in research, product development, and customer behavior analysis, gained through his roles as Product Director at Shazam Eastern Europe and through his entrepreneurial ventures.

His professional journey includes pioneering successful augmented reality (AR) campaigns at Shazam, and co-founding Sensemitter, a gaming experience analytics company. Inspired by a discovery in WiFi sensing, Alex and his team of developers and former CERN physicists introduced AI algorithms for emotional analysis, leading to Wayvee Analytics’s founding in May 2023. This innovation in Emotion AI is set to transform how retailers gain actionable insights on customer satisfaction and engagement, delivered in real-time without the use of cameras or surveys, all while respecting users’ privacy.

What inspired the founding of Wayvee Analytics, and how did your background with Shazam and Sensemitter contribute to this journey?

My experiences have shaped what we do at Wayvee, focusing on emotion recognition. During my time at Shazam Eastern Europe, I launched the region’s first Augmented Reality (AR) campaign and saw how facial expressions revealed emotional patterns. Leading a research project using facial coding, I realized many industries like retail were interested in such technology, though privacy and tech limitations were major challenges.

Combining my background in neuroscience and product development, I saw the need for better customer understanding in offline environments, where existing tools were either slow in feedback collection or privacy invasive. This led us, along with ex-CERN physicists, to develop Wayvee’s Emotion AI, overcoming these challenges with a technology that operates with radio waves, ensuring 100% customer privacy and delivering insights in real time.

Could you share more about the discovery in WiFi sensing that sparked the creation of Wayvee?

In May 2023, I came across an article that really piqued my interest – it was about Wi-Fi sensing for tracking human movement. It described how Wi-Fi-based devices could capture data on how people move, and how radio waves are extremely sensitive to these position changes. That got me thinking — if radio waves can detect movement, why couldn’t they also capture heart rate and breathing? These are key indicators for understanding emotional states.

Together with Viacheslav Matiunin, Wayvee’s CTO and a physicist who led data analysis for the LHCb experiment at CERN, and a group of researchers and neuroscientists, we built a prototype using a regular Wi-Fi router to test the idea. The team engineered an algorithm that could detect breathing and micro-movements using just Wi-Fi signals, and we patented the technology. This marked the beginning of developing our MVP and eventually our own hardware device – Wayvee sensor.

Wayvee was launched out of stealth in 2024. Can you talk about the initial goals of the company and how you envision transforming the retail analytics landscape?

As a deep tech company focused on Emotion AI for the physical world, we see various potential applications for this technology, from healthcare to smart homes. However, my experience in customer-facing markets quickly showed that retail had the greatest potential for impact. Retailers are constantly seeking ways to increase customer satisfaction and how to better understand their audience, yet they often rely on outdated methods that don’t provide real-time insights or face privacy concerns with personal data collection.

Through our pilot stage, it’s become clear that retailers need actionable insights, not just data. It’s not enough to simply identify unhappy customers — we help explain why and offer recommendations for immediate improvement, keeping customers satisfied in the moment.

Wayvee uses a privacy-preserving sensor with no cameras. How does your technology manage to capture physiological signals like breathing and heart rate using radio frequency (RF) waves?

For us, privacy is a big deal, and that’s why we don’t rely on cameras. Сameras obviously can track where someone is and what they’re doing, but interpreting emotions can be tricky, especially if the person’s position or angle throws it off. Can you imagine how many cameras you need to install to be able to see a person from different angles?

Instead, we use radio waves. The Wayvee sensor, installed on shelves or other key locations, emits radio signals and captures them when they bounce back, carrying a range of data — from breathing and heart rate to subtle shifts like posture, walking speed, and gestures. Our AI algorithms then process this data and convert it into emotional insights, recognizing if a person is angry, happy, neutral, etc.

Can you explain how the AI algorithm processes these physiological signals and translates them into actionable insights for retailers?

Wayvee devices capture radio wave signals, allowing our algorithms to identify objects and locate people. Our AI then analyzes their responses using a trained neural network based on the arousal-valence model, which assesses emotional intensity and positivity.

We focus on real-time emotional shifts rather than overall states, leveraging our extensive dataset to establish baselines for identifying emotions like happiness, sadness or frustration. This data is sent to a server that powers Wayvee, providing retailers with real-time analytics, including Customer Satisfaction (C-SAT), engagement metrics, and other insights. Retailers can generate custom reports and receive alerts for customer dissatisfaction, enabling immediate action.

What makes your approach to emotion AI, which is based on physiological signals like HRV and body gestures, more effective than traditional methods like surveys or video surveillance?

We bring everything together in one solution! Traditional surveys are slow, only capturing feedback from about 0.1% of customers, often resulting in biased responses. Our approach focuses on subconscious reactions, which are more accurate because they are involuntary. This allows us to cover 100% of customers interacting with a shelf and deliver real-time insights within about two minutes through our dashboard.

When it comes to video-based methods, they rely on cameras, which naturally raise privacy concerns, even when measures like face blurring are applied. We wanted to create a privacy-first solution that doesn’t make people feel like they’re being watched, which is why we’ve taken a different approach entirely — one that’s respectful of customer privacy while still delivering the insights retailers need.

How does Wayvee’s RF technology ensure customer privacy while still providing deep emotional insights?

It’s pretty simple — we don’t see people’s faces or identify their figures in a space. All the data we receive is fully anonymized. Unlike other solutions that blur faces or create 3D models to deal with privacy issues, we don’t have to do any of that because the way we gather information is totally different. We’re not working with visuals; it’s all done through signals, so privacy concerns just don’t come into play the same way.

Wayvee offers instant feedback on metrics like customer satisfaction (C-SAT) and engagement. How do these insights impact a retailer’s ability to make swift and effective operational changes?

At our core, we focus on delivering actionable insights for improvement. We go beyond metrics like dwell time and average speed, which can be relative but don’t tell the full story. The real value lies in combining these metrics with deeper insights that explain the results. With our data, retailers can optimize store layouts through A/B testing, experimenting with shelf arrangements, displays, and retail media to enhance customer satisfaction.

We also assist with workload planning by recommending resource allocation based on customer flow and engagement. For example, during a pilot project with a sneaker store, we discovered that faster customer movement correlated with higher purchases. Staff involvement was actually slowing down the process, so we suggested reducing staff during peak times, which increased sales. It’s amazing how small changes can have such a significant impact!

As more retailers adopt privacy-driven solutions, where do you see the future of in-store analytics heading? How do you plan to expand Wayvee’s technology and reach in the coming years?

I think the future of in-store analytics will definitely lean toward being more customer-focused. It’s not just about making their shopping experience smoother and more enjoyable, but also about respecting their privacy. With Wayvee, we have big plans ahead. Beyond what we’re already doing, there are so many potential use cases for our tech — whether it’s measuring the effectiveness of retail media or understanding how different types of content impact customers. We’re even looking into things like price prediction based on purchase intent. There’s so much opportunity to help retailers evolve while keeping their customers at the center of the shopping experience.

In terms of scalability, how easy is it for retailers to integrate Wayvee’s solution into their existing store infrastructure?

Our device is easy to install and requires minimal technical know-how, needing no ongoing maintenance. Retailers can set it up in just 10 to 30 minutes by attaching it to a shelf and setting the monitoring zone. Unlike camera systems, there’s no need for a large upfront installation. Retailers can start with a few sensors during a test period and expand as needed. Each device covers a 3.5-meter range, and once they send us their store layout, we’ll upload it to the dashboard for accurate data collection. All device data is centralized in one dashboard for easy monitoring and comparison.

Thank you for the great interview, readers who wish to learn more should visit Wayvee Analytics.