Wrist movement and orientation
The smartwatch captures body movement and wrist dynamics as the user performs object-related actions and daily activities.
- Wrist acceleration
- Angular velocity
- Magnetic field
- Rotation matrix
Preliminary concept platform
Smart Objects for Smart Care
SOSC is an early-stage sensing platform designed to transform everyday objects into interactive digital care assets. In this preliminary phase, the project focuses on combining a smartwatch, smart tags, and smart objects to collect rich multimodal data and recognize user–object interactions in daily life.
Smartwatch Hub
Wearable core for motion, physiology, GPS, and continuous personal sensing.
Tagged Objects
Smart tags associated with everyday objects to support user–object interaction recognition.
Cup
Fridge
Drawer
Door
Data Streams
Motion, physiological, environmental, spatial, and interaction data collected in parallel.
Interaction Recognition
Signals from the smartwatch and nearby tagged objects are fused to identify object-related actions.
Project snapshot
What SOSC addresses in the preliminary phase
The current phase is centered on building the technological foundation: defining the sensing ecosystem, collecting synchronized streams from multiple sources, and validating the feasibility of recognizing interactions between users and everyday objects.
Smartwatch-centered architecture
The smartwatch acts as the main personal sensing device, continuously collecting data from wrist-worn motion, physiological, and spatial sensors.
Smart tags linked to objects
Smart tags are attached to relevant objects in the environment to provide contextual information and support recognition of user–object proximity and interaction.
Smart objects as context sources
Objects become digitally traceable entities whose usage can be captured and associated with the user’s wrist signals and spatial patterns.
Multimodal data collection for daily-life studies
The platform is designed to gather heterogeneous data streams that can later support activity understanding, context modeling, and more advanced digital care functions.
Layer 1
Smartwatch
Captures continuous personal sensing from the wrist, including movement, orientation, location, and physiology.
Layer 2
Smart Tags
Provide object identity and contextual proximity information for monitored everyday items.
Layer 3
Smart Objects
Enable object-aware monitoring by linking usage events to the user’s behavior and surrounding environment.
Output
Interaction-aware dataset
Generates synchronized multimodal data streams suitable for studying user–object interactions in real settings.
Data foundation
Multimodal signals collected by SOSC
A core goal of the preliminary project is to build a rich and synchronized dataset that combines wearable, environmental, and contextual information from the user and surrounding objects.
Personal state indicators
Physiological variables are collected to enrich the understanding of user state during interactions and routines.
- Heart rate (HR)
- Heart rate variability (HRV)
Context of the surrounding space
Environmental and positioning information adds context to the interaction events and daily scenarios being monitored.
- Environment temperature
- Environment pressure
- Luminosity
- GPS
- Indoor position
Recognition target
User–object interaction recognition
The distinguishing element of SOSC in this preliminary phase is the ability to identify when the user engages with tagged objects by combining wearable data, object identity, proximity, and environmental context.
How interactions are represented
Interactions are modeled through the combination of wrist motion patterns, orientation changes, object proximity, and contextual information from the surrounding environment. This allows the project to distinguish meaningful actions involving specific objects.
Why interaction recognition matters
Recognizing how users interact with everyday objects provides a pathway to building richer digital care systems, since object usage often reflects routines, habits, and meaningful components of daily living.
Project phase
Preliminary work package focus
This version of the webpage describes only the initial project phase, where the platform concept, sensing infrastructure, and interaction-aware data collection workflow are being established.
1
Platform setup
Define the sensing ecosystem around the smartwatch, smart tags, and selected smart objects to support synchronized collection in realistic environments.
2
Data acquisition
Collect multimodal streams including motion, physiology, spatial context, and environmental variables during interaction-rich daily scenarios.
3
Interaction feasibility
Assess whether the combined signals enable robust recognition of user–object interactions and provide a strong basis for later project phases.
SOSC starts from the object level
In its preliminary phase, Smart Objects for Smart Care is focused on turning everyday objects into digital signals for care-oriented understanding, starting from sensing, synchronization, and interaction recognition.