MOBISYS

The accuracy of vision-based face recognition suffers in challenging scenarios, such as foggy or smoky weather, poor lighting, and blockage by objects like facial masks. This paper proposes an acoustic-based facial recognition system based on acoustic ...

The ubiquity of acoustic devices and the fine-grained sensing of acoustic signals have made acoustic device tracking a popular option. We propose to expand the use of commercial devices with microphones as an extension of the audio system to support ...

Acoustic metasurface was recently proposed to enhance the performance of acoustic communication and sensing. While promising, there are two issues hindering the adoption of acoustic metasurface for real-life usage. The first issue is that configurable ...

The limited bandwidth of Wi-Fi severely confines the granularity (especially in differentiating multiple subjects) of Wi-Fi sensing, posing a significant challenge for its wide adoption. Though utilizing multiple channels to expand the effective ...

Millimeter-wave (mmWave) radar has become instrumental in diverse consumer applications. Yet current radar architectures face major limitations. While full-MIMO structures are feature-rich, their cost and complexity rise rapidly with more antennas. ...

Minimizing bandwidth consumption while maintaining satisfactory visual quality becomes the holy grail of volumetric content delivery. However, due to the huge amount of 3D data to stream, the stringent latency requirement, and the high computational ...

Neural Radiance Fields (NeRF) are recognized for their exceptional photo-realism quality and superior modeling capabilities compared to traditional methods. NeRF empowers a novel application, termed NeRF serving. It delivers data from a server to a ...

Mixed reality devices with near-eye displays unlock new possibilities for innovation and user experiences. Mixed reality applications require a new unified framework that enables seamless analysis of the real world and simulation of realistic virtual ...

Optical camera communication (OCC) holds potential for location-aware data transfer, facilitating applications such as localization and overlaying digital content for mixed reality experiences. However, existing OCC designs commonly require a clean ...

In this paper, we proposed F²Key, the first earable physical security system based on commercial off-the-shelf headphones. F²Key enables impactful applications, such as enhancing voiceprint-based authentication systems, reliable voice assistants, audio ...

Privacy concerns over the security of personal information have grown in tandem with the spread of smartwatches. However, effective methods for protecting private data on smartwatches are very limited. Personal identity number (PIN) input is the only ...

We present the design and implementation of EarVoice, a lightweight mobile service that enables hands-free voice assistant activation on commodity earphones. EarVoice comprises two design modules: one for joint speech detection and primary user ...

Eavesdropping on human sound is one of the most common but harmful ways to threaten personal privacy. As one of the most essential accessories, headsets have been widely used in common online conversations, such as online calls, video meetings, etc. The ...

In current cellular network generations (4G, 5G) the IMS (IP Multimedia Subsystem) plays an integral role in terminating voice calls and short messages. Many operators use VoWiFi (Voice over Wi-Fi, also Wi-Fi calling) as an alternative network access ...

Accurate measurements of soil macronutrients (i.e., nitrogen, phosphorus, and potassium) and moisture play a key role in smart agriculture. However, existing commodity soil sensors are often expensive and the achieved accuracy is unsatisfactory. To ...

The prevalence of counterfeit infant formulas worldwide poses serious threats to infant health and safety, a concern highlighted by the notorious Melamine Milk Scandal that affected hundreds of thousands of children. The primary challenge in detecting ...

Mobile air pollution sensing methods are developed to collect air quality data with higher spatial-temporal resolutions. However, existing methods cannot process the spatially mixed gas samples effectively due to the highly dynamic temporal and spatial ...

Kangaroo Mother Care (KMC), involving chest-to-chest skin contact between an infant and caregiver, is proven to be an effective intervention for preterm and full-term infants. Accurate monitoring of KMC duration and infant's vital signs during KMC is ...

This paper presents FaB, a frequency-agile backscatter system that can optionally leverage OFDM signals on different bands as carriers for backscatter communication. Compared with existing backscatter systems that are tailored to a specific frequency ...

WiFi backscatter localization is a promising technology for the Internet of Things. However, existing works cannot work well for large-scale and low-cost tags with commodity WiFi devices. We present Willow, which provides accurate localization for ...

Precise localization encompassing diverse indoor spaces is the key to immersive interaction services. In practice, indoor localization often undergoes blind spots as RF is easily blocked by everyday objects ranging from concrete walls, metallic shelves, ...

Despite the potential for throughput enhancement with multiple tags, existing WiFi backscatter systems have been limited by inband interference among various tags. In response, we propose MultiRider, the first WiFi backscatter system that can tame in-...

In orchards, tree-level localization of robots is critical for smart agriculture applications like precision disease management and targeted nutrient dispensing. However, prior solutions cannot provide adequate accuracy. We develop our system, a ...

Conventional deep learning approaches for indoor localization often suffer from their reliance on high-quality training samples and display limited adaptability across varied scenarios. To address these challenges, we repurpose the Transformer model, ...

Millimeter-wave (mmWave) radar is increasingly being considered as an alternative to optical sensors for robotic primitives like simultaneous localization and mapping (SLAM). While mmWave radar overcomes some limitations of optical sensors, such as ...

Recording 3D movements of a user's hand, robotic arms, or an object, even in a small confined space, has several applications in AR/VR, robotics, movement science, and 3D modeling and rendering. Existing camera-based tracking systems, though extremely ...

Mobile devices with dynamic refresh rate (DRR) switching displays have recently become increasingly common. For power optimization, these devices switch to lower refresh rates when idling, and switch to higher refresh rates when the content displayed ...

Memory Electromagnetic Radiation (EMR) allows attackers to manipulate the DRAM of infiltrated systems to leak sensitive secret information. Although most of the existing works have demonstrated its feasibility, practical concerns, such as the ideal ...

Android smartphones use a dedicated component, Keymaster, to perform all their cryptographic, security-sensitive operations (e.g., storing cryptographic material and performing signing operations). While all Android Keymaster implementations need to ...

Federated Learning (FL) facilitates collaborative training of a shared global model without exposing clients' private data. In practical FL systems, clients (e.g., edge servers, smartphones, and wearables) typically have disparate system resources. ...