Abstract Natural polysaccharides have received much attention for their ability to ameliorate hepatic steatosis induced by high-fat diet. However, the potential risks of use been less investigated. Here, we show that exopolysaccharides (EPS) from Lactobacillus rhamnosus GG (LGG) and L. casei BL23 reduce in zebrafish fed a diet, while EPS, but not LGG induce liver inflammation injury. This is due fact EPS induces gut microbial dysbiosis, promotes homeostasis. We find can directly activate...

Smart city is a key component in Internet of Things, so it has attracted much attention. The emergence mobile crowd sensing (MCS) systems enables many smart applications. In an MCS system, tasks are allocated to number users. As result, the related context each user plays significant role on service quality. However, some important ignored literature. This motivates us propose context-aware multiarmed bandit (C-MAB) incentive mechanism facilitate quality-based worker selection system. We...

Since the number of cars has grown rapidly in recent years, driving safety draws more and public attention. Drowsy is one biggest threatens to safety. Therefore, a simple but robust system that can detect drowsy with commercial off-the-shelf devices (such as smart-phones) very necessary. With this motivation, we explore feasibility purely using acoustic sensors embedded smart-phones driving. We first study characteristics driving, find some unique patterns Doppler shift caused by three...

With the rapid development of mobile devices and fast increase sensitive data, secure convenient authentication technologies are desired. Except for traditional passwords, many have biometric-based methods (e.g., fingerprint, voiceprint, face recognition), but they vulnerable to spoofing attacks. To solve this problem, we study new biometric features which based on dental occlusion find that bone-conducted sound collected in binaural canals contains unique individual bones teeth. Motivated...

Fitness can help to strengthen muscles, increase resistance diseases and improve body shape. Nowadays, more people tend exercise at home/office, since they lack time go the dedicated gym. However, it is difficult for most of them get good fitness effect due professional guidance. Motivated by this, we propose HearFit, first non-invasive monitoring system based on commercial smart speakers home/office environments. To achieve turn into active sonars. We design a detection method Doppler shift...

Drowsy driving is one of the biggest threats to safety, which has drawn much public attention in recent years. Thus, a simple but robust system that can remind drivers drowsiness levels with off-the-shelf devices (e.g., smartphones) very necessary. With this motivation, we explore feasibility using acoustic sensors on smartphones detect drowsy driving. Through analyzing real data study characteristics driving, find some unique patterns Doppler shift caused by three typical behaviours (i.e.,...

The ever-growing security issues in various scenarios create an urgent demand for a reliable and convenient identification system. Traditional systems request users to provide passwords, fingerprints, or other easily stolen information. Existing works show that everyone's gait respiration have unique characteristics are difficult imitate. But these only use information achieve identification, which leads low accuracy long time. And they no strong anti-interference ability, the limitation...

Driving safety has drawn much public attention in recent years due to the fast-growing number of cars. Smoking is one threats driving but often ignored by drivers. Existing works on smoking detection either work contact manner or need additional devices. This motivates us explore practicability using smartphones detect events environment. In this paper, we propose a cigarette system, named HearSmoking, which only uses acoustic sensors improve safety. After investigating typical habits...

Sound-related respiratory symptoms are commonly observed in our daily lives. They closely related to illnesses, infections, or allergies but ignored by the majority. Existing detection methods either depend on specific devices, which inconvenient wear, sensitive noises and only work for indoor environment. Considering lack of monitoring method in-car environment, where there is high risk spreading infectious diseases, we propose a smartphone-based system, named SymListener, detect driving By...

Bowel sound (BS) is an important physiological signal of the human body, which also objective reflection gastrointestinal motility. However, BS has characteristics weak signal, strong noise, and randomicity, bring great challenges to daily detection BS. In this paper, we propose BSMonitor, first monitoring system with noise-resistant capability via earphones. BSMonitor uses one earphone attached abdomen collect signals other worn in ear external noises internal noises. After eliminating...

Speeding is one of the biggest threatens to road safety. However, facilities like radar detector and speed camera are not deployed everywhere, as roads in some areas campus residential often lack these facilities. Several solutions either depend on pre-deployed infrastructures, or require additional devices, which motivate us explore practicability using smartphones' acoustic sensors detect vehicle speed. In this paper, we propose a Hybrid Detection system for Speed (HDSpeed). We first...

Fitness can help to strengthen muscles, increase resistance diseases, and improve body shape. Nowadays, a great number of people choose exercise at home/office rather than the gym due lack time. However, it is difficult for them get good fitness effects without professional guidance. Motivated by this, we propose first personalized monitoring system, HearFit <inline-formula><tex-math notation="LaTeX">$^+$</tex-math></inline-formula> , using smart speakers home/office. We explore feasibility...

Location awareness in environments is one of the key parts for drones' applications and have been explored through various visual sensors. However, standard cameras easily suffer from motion blur under high moving speeds low-quality image poor illumination, which brings challenges drones to perform tracking. Recently, a kind bio-inspired sensors called event emerge, offering advantages like temporal resolution, dynamic range low latency, motivate us explore their potential tracking limited...

Sign language is expressed by movements of the hands and facial expressions, which mainly used deaf community. Although some gesture recognition methods are put forward, they possess different defects not applicable to deal with sign (SLR) problem. In this article, we propose an end-to-end American SLR system built-in speakers microphones in smartphones, enables at both word level sentence level. The high-level idea use inaudible acoustic signal estimate channel information capture real...

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Nowadays, mobile smart devices are widely used in daily life. It is increasingly important to prevent malicious users from accessing private data, thus a secure and convenient authentication method urgently needed. Compared with common one-off (e.g., password, face recognition, fingerprint), continuous can provide constant privacy protection. However, most studies based on behavioral features vulnerable spoofing attacks. To solve this problem, we study the unique influence of sliding fingers...

With the rapid development of mobile devices and fast increase sensitive data, secure convenient authentication technologies are desired. Except for traditional passwords, many have biometric-based methods (e.g., fingerprint, voiceprint, face recognition), but they vulnerable to spoofing attacks. To solve this problem, we study new biometric features which based on dental occlusion find that bone-conducted sound collected in binaural canals contains unique individual bones teeth. Motivated...