Author Login IJIRT Partner Network (IPN) Login

A TENSOR APPROACH FOR ACTIVITY RECOGNITION AND FALL DETECTION USING WEARABLE INERTIAL SENSORS

  • Unique Paper ID: 159235
  • Volume: 9
  • Issue: 11
  • PageNo: 692-695
  • Abstract:
  • Falls are among one of the most dangerous episodes happening to older individuals and has a basic impingement on the nature of their life, like cracks, spinal string injury and decrease in versatility. The World Wellbeing Association (WHO) announced that falls are the subsequent driving reason for inadvertent or unintentional demise. For sure, 33% individuals north of 65 years of age experience a normal of one fall each year and two-third of them have a gamble of falling once more. A fall can bring about a super durable handicap, a difficult recovery, a long emergency clinic stays or even a more terrible impact than that. For this reason, clinical staff and scientists are giving their all to mitigate the results of falls by keeping away from the common of falls, lessening the reaction time and giving a superior consideration upon event of a fall. In this paper, we propose a movement acknowledgment and fall recognition approach which utilizes tensors as the mean for wearable inertial sensors information portrayal. To lessen the tensor size, we will keep significant data as it were. To do this activity we will prepare the regulator with sensor data for various exercises like standing, strolling, sitting, and falling. In the wake of preparing this large number of exercises to the regulator we will test for various action. To assess the proposed approach, we complete examinations on a freely accessible enormous fall and exercises dataset. The outcomes show the damage of tensorizing information contrasted with its handling through linked vectors. We utilize a GPS module to distinguish the area concerning scope and longitude. At the point when the fall happens then quickly that area data will be shipped off the relatives or concerned individuals of the casualty involving GSM module as SMS to make them aware of make a legitimate move. What is more, the absolute data will be refreshed in the IoT application. By utilizing the versatile application, the guardians can screen the action continuously from anyplace on the planet utilizing web network
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 11
  • PageNo: 692-695

A TENSOR APPROACH FOR ACTIVITY RECOGNITION AND FALL DETECTION USING WEARABLE INERTIAL SENSORS

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry