Residential wearable RSSI and accelerometer measurements with detailed location annotations

Abstract

This repository offers smart-home wearable accelerometer and Radio Signal Strength Indicator (RSSI) data acquired : 1) with low-cost hardware; 2) with high-resolution location annotations; 3) from four UK homes. The data are intended to evaluate RSSI-based indoor localisation methods with activity measurements provided from a user-worn wearable device. A wrist worn accelerometer records activity signatures which are relayed to a number of receiving Access Points (AP) placed throughout the building. Upon reception of a packet, each AP measures the RSSI of the received radio signal and timestamps the accelerometer measurements. Location labels are recorded automatically using a small camera which registers fiducial floor tags as the participant carries out their normal routines in a natural way. Approximately 14 h of annotated wearable measurements are provided. A scripted fingerprint measurement is provided along with several unscripted natural living recordings, where the participant carried out a number of daily household activities which are annotated, where possible, throughout. Codes are provided to access the data and to replicate the ground-truthing procedure.

Sensor Modalities and Fusion for Robust Indoor Localisation

“…In this paper, we understand indoor localisation to be an epitome of technologies and implementations for localisation in an enclosed environment. Examples of few such environments range from, but are not limited to, residential abodes [13], commercial shopping malls [160], industrial halls and factories [73], hospitals [64] and natural formations, such as underwater caves [99]. Here we consider sensor combinations stemming from the necessities imposed by these environments.…”

“…RF-based sensing and location estimation have been the cutting edge methods of positioning due to their relatively low cost, off-theshelf sensor availability and solid performance. This, coupled with the recent advances in Internet-of-Things (IoT) and ever-decreasing costs of maintenance have made this type of sensing a go-to for many researchers [8,11,13,49,78,79,103].…”

“…Wi-Fi [42,144] has been cited as one of the more popular approaches. Increasingly, the Bluetooth Low Energy (BLE) based sensors have been used, which leverage the low-power consumption with cheap cost and ubiquity [13,150]. Radio Frequency Identification (RFID) [31] and Ultra Wide-band (UWB) [47] have also been used for location estimation, with UWB achieving sub-metre accuracy.…”

“…Indoor localisation has been regularly cited as an important ambition of many fields in both, academia and industry. The use cases include pervasive health monitoring [13,78], targeted advertising [9], factory vehicle tracking [71] and robotics [15,90], amongst others. However, implementations of localisation methods and algorithms differ, depending on the need, deployment methods, available utilities, resources and sensors [54,181].…”

“…This makes the relative selection space large, and frequently open to interpretation with regard to available resources and constraints.Whilst the survey literature pertaining to localisation systems and methods is large [54,171,181], there exists very little in the way of localisation-centric sensor utilisation. This encompasses the use of bespoke [39] or off-the-shelf [13,118] sensors, specifically for the use of location estimation, robustification and optimisation. This area is extensive [20,35,57,83,136,146], yet very often bundled along with localisation technology surveys, without subsequent scrutiny.…”