Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing

Key Features


Uniqueness: MARS offers a unique radar-based system to contniously monitor a diverse set of human activities in a multi-user environment. The core idea is to combine mmWave sensing with an intelligent rotor-based 360-degree scanning for room-scale activity monitoring by periodically switching the sensing resolution. The core features of the platform are as follows.
  • Diverse Activity Set: We have included a wide array of 19 different activity classes from Activities of Daily Living (ADLs), Instrumental Activities of Daily Living (IADLs), and daily indoor exercises – (i) macro activities like walking, running, jumping, clapping, lunges, squats, waving, vacuum cleaning, folding clothes, changing clothes, and (ii) micro activities like laptop-typing, phone-talking, phone-typing, sitting, playing guitar, eating food, combing hair, brushing teeth, and drinking water to ensure comprehensive coverage of daily human behaviors.
  • Multiple Subjects: MARS uniquely includes multiple subjects performing various activities simultaneously, unlike traditional datasets that typically focus on single-subject activities. This feature allows our platform to account for the complexity and variability of real-world scenarios where interactions between multiple individuals are common.
  • Adaptive Doppler Resolution: As we observe that the macro and micro-scale activities can be better captured by dynamically switching the radar sensitivity, MARS, therefore, employs an adaptive doppler resolution strategy to sense activities at different scales.
  • Real-world Setups: The platform is tested under diverse scenarios of real indoor environments with the presence of furniture and other objects usually found in an indoor setup. This promotes the real-world applicability of the developed platform.

Contributors

prasenjit
Argha Sen

IIT Kharagpur, India

swadhin
Swadhin Pradhan

Cisco Systems, US

swadhin
Anirban Das

IIT Kharagpur, India

sandip
Sandip Chakraborty

IIT Kharagpur, India

Teaser Video

Publications


  1. Argha Sen, Anirban Das, Swadhin Pradhan, and Sandip Chakraborty: "Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing", ACM/IEEE IPSN 2024
  2. Argha Sen, Anirban Das, Swadhin Pradhan, and Sandip Chakraborty: "Demo Abstract: MARS: An mmWave-based Multi-user Activity Tracking Solution", ACM/IEEE IPSN 2024 Demos

Funding and Support



For questions and general feedback, contact Argha Sen