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ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches

Authors:

Farshid Salemi Parizi,

Wojciech Matusik,

John StankovicAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 8, Issue 1

Article No.: 5, Pages 1 - 26

https://doi.org/10.1145/3643547

Published: 06 March 2024 Publication History

Abstract

Knowing the object grabbed by a hand can offer essential contextual information for interaction between the human and the physical world. This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. The system relies on the vibrations caused by grabbing objects and does not require additional hardware or human effort. ViObject's ability to recognize objects passively can have important implications for a wide range of applications, from smart home automation to healthcare and assistive technologies. In this paper, we present the design and implementation of ViObject, to address challenges such as motion interference, different object-touching positions, different grasp speeds/pressure, and model customization to new users and new objects. We evaluate the system's performance using a dataset of 20 objects from 20 participants and show that ViObject achieves an average accuracy of 86.4%. We also customize models for new users and new objects, achieving an average accuracy of 90.1%. Overall, ViObject demonstrates a novel technology concept of passive object recognition using commodity smartwatches and opens up new avenues for research and innovation in this area.

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Cited By

Chen WCheng JWang LZhao WMatusik W(2024)Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable SensorsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997478:4(1-26)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699747

Index Terms

ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
2. Human-centered computing
  1. Accessibility
    1. Accessibility technologies
  2. Ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 8, Issue 1

March 2024

1182 pages

EISSN:2474-9567

DOI:10.1145/3651875

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Published: 06 March 2024

Published in IMWUT Volume 8, Issue 1

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Chen WCheng JWang LZhao WMatusik W(2024)Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable SensorsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997478:4(1-26)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699747

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