Human Activity Detection Patterns: A Pilot Study for Unobtrusive Discovery of Daily Working Routine

Abstract

Information technology is increasingly becoming an integral part of contemporary life. Most tasks that are performed over the course of a day, involve the use of different types of connected devices. About two billion contemporary consumers use smartphones [1]. These smartphones contain a variety of sensors that can collect information about their users such as their mobility patterns, daily activities and occupancy patterns [2]. Meanwhile other technologies such as electrical power usage are becoming increasingly "connected" through use of "smart plugs". Occupancy is an important aspect in developing responsive environments and for optimizing building performance. This work investigates the extent to which smartphones can be used to collect occupancy data in a work environment, compared to another method that uses smart power outlets for collecting occupancy data and validated against diary entries, which are recorded manually by participants each time they change their occupancy state.

Dealing with uncertainty in a context aware pre-embarkation prompter system to support independent living

“…A study was performed in a research office environment of a system for detecting human occupancy, using a combination of two different low cost technologies -Bluetooth RSSI"s signals and smart plugs connected to the user"s desktop and monitor [8]. Both measurement methods were translated into occupancy profiles for the study subjects by comparison with a paper journal entry of occupancy.…”