WiFi based gesture recognition has received significant attention over the past few years. However, key limitation of prior systems is that they cannot recognize gestures multiple users performing them simultaneously. In this paper, we address and propose WiMU, a Multi-User system. The idea behind WiMU when it detects some have performed simultaneously, first automatically determines number simultaneously (Na) then, using training samples collected from single user, generates virtual for...

There is a growing interest in the scientific community to develop techniques for humans communicate with computing that embedding into our environments. Researchers are already exploring ubiquitous modalities, such as radio frequency signals, gesture recognition systems. In this paper, we explore another modality, namely ambient light, and LiGest, an light based system. The key property of LiGest it agnostic lighting conditions, position orientation user, who performs gestures. general idea...

WiFi based gesture recognition has received significant attention overthe past few years. However, the key limitation of prior systems is that they cannot recognize gestures multiple users performing them simultaneously. In this article, we address and propose WiMU, a Multi-User system. The idea behind WiMU when it detects some have performed simultaneously, first automatically determines number simultaneously (Na) then, using training samples collected from single user, generates virtual...

This paper presents WiPolar, an approach that simultaneously tracks multiple people using commodity WiFi devices. While two recent papers have also demonstrated multi-person tracking devices, they either require the to continuously keep moving without stopping, and/or number of be input manually, devices from performing their primary function data communication. Motivated by increasing availability polarized antennas on modern WiPolar leverages signal polarization perform accurate while...

Accurately measuring the distance traversed by a subject, commonly referred to as odometry, in indoor environments is of fundamental importance many applications such augmented and virtual reality tracking, navigation, robot route guidance. While theoretically, odometry can be performed using simple accelerometer, practically, it well-known that distances measured accelerometers suffer from large drift errors. In this paper, we propose WIO, WiFi-assisted Inertial Odometry technique uses WiFi...

Typical home security systems monitor homes for intrusions by installing contact sensors on doors and windows motion inside the house. Unfortunately, due to high deployment operational costs of today's systems, only a small fraction have installed (e.g., 17% in US 15% China). In this paper, we propose WiFi based Home Security system (WiHS) that uses commodity devices, which most modern households already have, perform three primary tasks typical systems: 1) detect when door/window is...

Generating maps of indoor environments beyond the line sight finds applications in several areas such as planning, navigation, and security. While researchers have previously explored use RF signals to generate maps, prior work has two important limitations: (i) it requires moving mapping setup along entire lengths sides building, (ii) generates that are not fully connected, rather scatter plots locations from where some obstacles reflected signals. Thus, approaches require human...

With the advent of Internet Things (IoT), wireless sensor and actuator networks, subsequently referred to as IoT networks (IoTNs), are proliferating at an unprecedented rate in several newfound areas such smart cities, health care, transportation, consequently, securing them is paramount importance. In this paper, we present useful insights from exploratory study impacts network layer attacks on IoTNs. We envision that these will guide design future frameworks defend against attacks. also a...

Accurately measuring the distance traveled by an object or odometry, in indoor environments is important many applications such as video-game controller tracking robot route guidance. While can be simply measured using accelerometer, it wellknown that distances with accelerometers suffer from large drift errors. In this paper, we demonstrate WIO, a WiFi-assisted Inertial Odometry technique uses WiFi signals auxiliary source of information to correct The key intuition behind WIO that, among...

With the advent of Internet Things (IoT), sensor and actuator networks, subsequently referred to as IoT networks (IoTNs), are proliferating at an unprecedented rate in several newfound areas such smart cities, health care, transportation, consequently, securing them is paramount importance. We present NLSec, a fully distributed lightweight framework that can detect arbitrary network layer (NL) attacks any given IoTN, localize (i.e., identify) compromised nodes, mitigate by isolating nodes...

Generating maps of indoor environments beyond the line-of-sight finds applications in several areas such as planning, navigation, and security. While researchers have previously explored use RF signals to generate maps, prior work has two important limitations: (i) it requires moving mapping setup along entire lengths sides building, (ii) generates that are not fully connected, rather scatter plots locations from where some obstacles reflected signals. Thus, approaches require human...

There is growing interest in the research community to develop techniques for humans communicate with computing that embedding into our environments. Researchers are exploring various modalities, such as radio-frequency signals, gesture recognition systems. We explore another modality, namely ambient light, and LiGest, an light based system. The idea behind LiGest when a user performs different gestures, user's shadows move distinct patterns. captures these patterns using grid of floor-based...

In this paper, we present LiGeR, a gesture recognition system that leverages ambient light to recognize human gestures in indoor environments. LiGeR is based on the observation when user performs room lit with light, amount of he/she reflects and blocks changes, resulting changes intensity all parts room. The patterns are different for gesture. first learns these by applying machine learning techniques training samples those gestures, then recognizes real-time them. designing overcame...

Among the efforts to overcome problem of rapidly saturating RF bands, visible light communication (VLC) is garnering a renewed interest as it can be enabled using commodity LED lamps. As indoor spaces are typically illuminated by multiple lamps comprising LEDs each, natural approach efficiently utilize bandwidth all use MIMO communication. The state art decode streams channel matrix. Although matrix based decoding method (CMDM) works very well in conventional technologies, when used VLC,...