Multi-user activity recognition: Challenges and opportunities

Q Li, R Gravina, Y Li, SH Alsamhi, F Sun, G Fortino - Information Fusion, 2020 - Elsevier
Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

Privacy-preserving collaborative deep learning with application to human activity recognition

L Lyu, X He, YW Law, M Palaniswami - Proceedings of the 2017 ACM on …, 2017 - dl.acm.org
The proliferation of wearable devices has contributed to the emergence of mobile
crowdsensing, which leverages the power of the crowd to collect and report data to a third …

[HTML][HTML] Long-term activity recognition from wristwatch accelerometer data

E Garcia-Ceja, RF Brena, JC Carrasco-Jimenez… - Sensors, 2014 - mdpi.com
With the development of wearable devices that have several embedded sensors, it is
possible to collect data that can be analyzed in order to understand the user's needs and …

[HTML][HTML] Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework

L Arrotta, G Civitarese, X Chen, J Cumin… - Expert Systems with …, 2024 - Elsevier
Abstract Human Activity Recognition (HAR) in smart environments is a well-explored
research domain, given its diverse applications which include healthcare, surveillance …

A WiFi-based method for recognizing fine-grained multiple-subject human activities

MG Moghaddam, AAN Shireh**i… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Device-free human activity recognition (HAR) has gained attention in recent years. While
much has been done in coarse-grained HAR, the recognition of fine-grained human …

A framework for group activity detection and recognition using smartphone sensors and beacons

H Chen, SH Cha, TW Kim - Building and Environment, 2019 - Elsevier
Understanding occupant activities in a building is essential for building management
systems to provide occupants with comfort and intelligent indoor environment. However …

Activity-aware energy-efficient automation of smart buildings

BL Thomas, DJ Cook - Energies, 2016 - mdpi.com
This paper introduces the idea of activity-aware cyber-physical systems (CPS). Activity-
aware systems allow smart city services to adapt to the needs of individual residents by …

Blink as you sync: Uncovering eye and nod synchrony in conversation using wearable sensing

A Gupta, FL Strivens, B Tag, K Kunze… - Proceedings of the 2019 …, 2019 - dl.acm.org
We tend to synchronize our movements to the person we are talking to during face-to-face
conversation. Higher interpersonal synchrony is linked to greater empathy and more …

Group activity recognition using belief propagation for wearable devices

D Gordon, M Scholz, M Beigl - … of the 2014 ACM International Symposium …, 2014 - dl.acm.org
Humans are social beings and spend most of their time in groups. Group behavior is
emergent, generated by members' personal characteristics and their interactions. It is …

The contribution of human body capacitance/body-area electric field to individual and collaborative activity recognition

S Bian, VF Rey, S Yuan, P Lukowicz - arxiv preprint arxiv:2210.14794, 2022 - arxiv.org
The current dominated wearable body motion sensor is IMU. This work presented an
alternative wearable motion-sensing approach: human body capacitance (HBC, also …