Muhammad Afif Husman
Biographic Data
| ID | 8970547 |
|---|---|
| NAME | Muhammad Afif Husman |
| GIVEN NAMES | Muhammad Afif |
| FAMILY NAME | Husman |
| SIGNATURE | HUSMAN M A |
| AFFILIATIONS | International Islamic University Malaysia |
| ORCID | 0000-0001-8696-4545 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Feasibility Study of a Haptic-Based Catch & Heal Game for Upper Limb Rehabilitation with Motivational Support From a Social Robot
Background Stroke often results in upper limb impairment, requiring repetitive rehabilitation exercises that can be demotivating over time. Aim This study aims to develop and evaluate a rehabilitation system called Catch & Heal , which combines haptic-based gameplay and social robot-mediated motivational support to enhance upper limb therapy and user experience. The novelty of this system lies in its unified design, which combines serious gaming,…
Artificial intelligence for electric motorcycle retrofitting
Electric motorcycle retrofitting has emerged as a potentially cost-effective pathway for accelerating transport electrification, particularly in motorcycle-dependent regions where the replacement of existing internal combustion engine fleets remains economically challenging. However, current retrofitting practices are often manual, fragmented, and weakly supported by data-driven decision tools. This paper presents a structured review of artificia…
No prominent works on this page.
Feasibility Study of a Haptic-Based Catch & Heal Game for Upper Limb Rehabilitation with Motivational Support From a Social Robot
Background Stroke often results in upper limb impairment, requiring repetitive rehabilitation exercises that can be demotivating over time. Aim This study aims to develop and evaluate a rehabilitation system called Catch & Heal , which combines haptic-based gameplay and social robot-mediated motivational support to enhance upper limb therapy and user experience. The novelty of this system lies in its unified design, which combines serious gaming,…
Artificial intelligence for electric motorcycle retrofitting
Electric motorcycle retrofitting has emerged as a potentially cost-effective pathway for accelerating transport electrification, particularly in motorcycle-dependent regions where the replacement of existing internal combustion engine fleets remains economically challenging. However, current retrofitting practices are often manual, fragmented, and weakly supported by data-driven decision tools. This paper presents a structured review of artificia…
Advanced battery technologies research (1 work) · Applications of artificial intelligence (1 work) · Component (thermodynamics) (1 work) · Decision support system (1 work) · Electric and Hybrid Vehicle Technologies (1 work) · Electric Vehicles and Infrastructure (1 work) · Embodied cognition (1 work) · Haptic technology (1 work) · Human–robot interaction (1 work) · Motor Control and Adaptation (1 work)