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In a world where technology continues to push boundaries, our interaction with sound is no exception. Enter the realm of smart audio, a captivating fusion of innovation and entertainment that has reshaped the way we experience sound in our everyday lives. From smart speakers that respond to our commands to immersive audio environments that envelop us in a world of sound, the possibilities are both thrilling and endless.
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The Rise of Smart Speakers: Beyond Just Music: Smart speakers have taken the tech world by storm, offering a seamless way to integrate voice-activated technology into our daily routines. Whether it's playing our favorite songs, setting reminders, providing weather updates, or answering burning questions, these devices have become an indispensable part of our homes. With industry giants like Amazon, Google, and Apple competing to offer the best user experience, smart speakers have evolved beyond mere sound output, becoming true virtual assistants that understand and adapt to our needs.
Personalized Soundscapes: Tailoring the Listening Experience: Gone are the days when a one-size-fits-all audio experience was sufficient. Smart audio technology has ushered in an era of personalized soundscapes, ensuring that each individual's preferences and hearing capabilities are catered to. Advanced algorithms analyze our listening habits, genre preferences, and even our hearing profiles to create customized audio profiles. This technology ensures that the highs, mids, and lows are perfectly balanced, offering an immersive and rich listening experience.
Sound and the Smart Home: A Symphony of Convenience: Smart audio doesn't stop at entertainment; it's also seamlessly integrated into the smart home ecosystem. From doorbells equipped with two-way audio to security systems that alert us of suspicious noises, our living spaces are becoming increasingly intelligent when it comes to sound. Notifications, alarms, and intercom systems are just a few examples of how audio enriches the smart home experience.
The Future of Interaction: Beyond the Screen: As smart audio technology continues to evolve, it's likely that we'll witness a shift in how we interact with devices altogether. Voice commands are just the beginning. With the integration of natural language processing and AI, our devices will become more adept at understanding context and carrying out complex tasks through voice alone. This transition could potentially reduce our reliance on screens and further enhance the seamlessness of our interactions with technology.
Intelligent Noise Cancellation: Your Sanctuary in a Noisy World: Noise-cancelling headphones have long been a staple for those seeking solace from the chaos of the outside world. Smart audio takes this concept to a new level with intelligent noise cancellation. These headphones not only filter out unwanted sounds but also utilize AI to discern between different types of noise. Whether you're on a bustling city street or a crowded airplane, you can immerse yourself in crystal-clear audio without missing a beat.
The Art of Connectivity: From Homes to Vehicles: Smart audio isn't confined to living rooms and personal devices; it's expanding its reach into our homes and vehicles. Smart soundbars offer a cinematic audio experience, enhancing our movie nights with immersive sound. Meanwhile, smart audio systems integrated into vehicles provide seamless navigation, hands-free calling, and entertainment options, ensuring that the driving experience remains both safe and enjoyable.
Challenges and Future Possibilities: As with any technological advancement, there are challenges that come with the growth of smart audio. Concerns related to data privacy, security, and potential misuse of voice data have prompted important discussions within the industry. Striking a balance between convenience and safeguarding personal information remains a priority as the field continues to evolve.
Smart audio is more than just a trend; it's a transformative force that's shaping the way we experience sound, entertainment, and connectivity. From personalized playlists to intelligent noise cancellation, this technology is enriching our lives in ways we never thought possible. As the journey of smart audio unfolds, let's embrace the harmony of innovation and creativity, and allow the world of sound to continue surprising and inspiring us.
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The accuracy of your device and its related software, including heart rate readings, may be affected environmental conditions, skin condition, activity performed while using the device, device settings, user configuration/user-provided information, placement of the sensor, and other end-user interactions.
Wear the watch snugly above the wrist. Do not fasten the watch band too tightly. Avoid attaching third-party bands to your watch, and only use the band included with your watch or a Samsung-approved band specifically designed for it.
Even if you are wearing your smart watch or fitness band correctly, certain factors may affect how well your heart rate is read. If you're having trouble getting an accurate measurement, review this information:
Want to see if your heart rate has become faster or slower after a workout? You can manually measure your heart rate any time you need to. Just remember to read the guidelines mentioned above before measuring.
Sometimes you feel like your heart rate has improved during your jogs, but other times you feel out of breath. You can view your overall heart rate trends to find patterns and enhance your performance.
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A The displacement from respiration and heartbeat in the in-phase component of the raw active sonar signal. While breathing motion (blue curve) is strong, the heartbeats (red circle) are weak and not reliably observable in this signal. B The frequency domain with the respiratory frequency range, heart rate range, and high-frequency noise. The respiratory signal strength is much higher and its harmonics spread into heart rate frequencies preventing the latter from being reliably extracted by just filtering. C The different algorithms in our system to separate heart motion from respiration and extract individual heartbeats.
The acoustic waveforms include both in-phase and quadrature-phase components after beamforming. The cardiac rhythm signal shifts between the in-phase and quadrature-phase components due to residual respiration motion that remains after beamforming. The vertical dotted lines show the segments computed by the segmentation algorithm, which combines data from both in-phase and quadrature-phase components. The figure shows the waveforms for a A healthy participant and B atrial fibrillation patient.
We recruited a cohort of 26 voluntary participants who had no prior history of cardiac conditions. The median age of the participants was 31 [interquartile range (IQR), 8.5] years and body mass index (BMI) was 22 (IQR, 3). The female-to-male ratio was 0.6 (see Supplementary Table 1).
Smart speaker technology is rapidly evolving and may provide a reliant and convenient platform for the next generation of health monitoring solutions22,34. Indeed, the increasing adoption of smart speakers in hospitals35 and homes36 could provide a means to realize the potential for our contactless cardiac rhythm monitoring system.
The complex numbers corresponding to the respiration arc have a repeating motion along the arc, with a quasi-static respiration frequency (Rresp) of less than 20 cycles per minute (CPM) in adult humans. Projecting an ideal breathing signal onto the real and imaginary components results in sinusoidal waves. However, the breathing motion is not perfectly sinusoidal. As a result, while the majority of breathing energy in the frequency domain is at Rresp and its second harmonic (
After the beamforming process converged and H was obtained, we extract the heart signal, Sheart, by applying a high-pass filter above 50 CPM to the real and imaginary parts of the resulting beamformed signal, S. We used a high-pass filter instead of a band-pass filter to preserve the high-frequency information and improve temporal resolution in the heartbeat signal.
We next segmented this complex signal into individual heartbeats. The challenge here is imperfect beamforming, which leaves residual interference from respiratory motion that modulates the heart signal. This introduces a rotation to the heartbeat signal, which changes the projection ratio between the real and imaginary components. Thus, we cannot always observe heartbeats only on the real (in-phase) or imaginary (quadrature) components (Fig. 2). Choosing local peaks from the absolute values of Sheart does not work since the residual noise from the high-pass filter creates fake peaks; a more restrictive band-pass filter could reduce this noise but would also reduce temporal resolution.
We wrote custom C++ code using generic audio drivers for data collection using our customized smart speaker prototypes. We wrote custom Python code for signal processing using common open-source libraries such as NumPy and PyTorch. Code for the data collection and signal processing is available upon request with a noncommercial license. 152ee80cbc
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