loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Clifton Phua ; Kelvin Sim and Jit Biswas

Affiliation: Institute for Infocomm Research, Singapore

Keyword(s): Multiple people, Activity recognition, Ambient intelligence, Sensors and sensor networks.

Related Ontology Subjects/Areas/Topics: Ambient Intelligence ; Detection and Estimation ; Digital Signal Processing ; Embedded Communications Systems ; Mobile and Pervasive Computing ; Sensors and Sensor Networks ; Telecommunications

Abstract: Activity recognition of a single person in a smart space, using simple sensors, has been an ongoing research problem for the past decade, as simple sensors are cheap and non-intrusive. Recently, there is rising interest on multiple people activity recognition (MPAT) in a smart space with simple sensors, because it is common to have more than one person in real-world environments. We present the existing approaches of MPAT, such as Hidden Markov Models, and the available multiple people activities datasets. In our experiments, we show that surprisingly, without the use of existing approaches of MPAT, even standard classification techniques can yield high accuracy. We conclude that this is due to a set of assumptions that hold for the datasets that we used and this may be unrealistic in real life situations. Finally, we discuss the open challenges of MPAT, when these set of assumptions do not hold.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.88.254.50

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Phua, C.; Sim, K. and Biswas, J. (2011). MULTIPLE PEOPLE ACTIVITY RECOGNITION USING SIMPLE SENSORS. In Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS; ISBN 978-989-8425-48-5; ISSN 2184-2817, SciTePress, pages 224-231. DOI: 10.5220/0003399902240231

@conference{peccs11,
author={Clifton Phua. and Kelvin Sim. and Jit Biswas.},
title={MULTIPLE PEOPLE ACTIVITY RECOGNITION USING SIMPLE SENSORS},
booktitle={Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS},
year={2011},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003399902240231},
isbn={978-989-8425-48-5},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - MULTIPLE PEOPLE ACTIVITY RECOGNITION USING SIMPLE SENSORS
SN - 978-989-8425-48-5
IS - 2184-2817
AU - Phua, C.
AU - Sim, K.
AU - Biswas, J.
PY - 2011
SP - 224
EP - 231
DO - 10.5220/0003399902240231
PB - SciTePress